Aleksandra B. Slavkovic

CONTACT Department of Statistics Phone: (814) 863-4918421A Thomas Building Fax: (814) 863-7114Penn State University E-mail: sesa@psu.eduUniversity Park, PA 16802 http://www.stat.psu.edu/⇠sesa

EDUCATION Carnegie Mellon University, Pittsburgh, PAPh.D. Statistics August 2004

Advisor: Stephen E. Fienberg

M.S. Statistics May 2001Masters in Human-Computer Interaction, December 1999

Duquesne University, Pittsburgh, PAB.A.(Magna Cum Laude), December 1996Major: Psychology Minor: Biology

PROFESSIONALCAREER

Penn State University, Eberly College of Science, University Park, PAAssociate Dean for Graduate Education, January 2018 - present

Penn State University, Department of Statistics, University Park, PACo-Director of Online Programs, August 2017 - August 2018Professor, July 2015 - presentAssociate Head for Diversity & Equity, October 2014 - October 2017Associate Head for Graduate Studies, July 2013 - presentAssociate Professor, July 2010 - June 2015Assistant Professor, August 2004 - June 2010

University of California, Berkeley, Simons Institute for the Theory of Computing,Berkeley, CASemester Program: Data Privacy: Foundations and ApplicationsLong-Term Visitor, January-May 2019

Penn State University, Department of Public Health Sciences, College of Medicine,Hershey, PAAssociate Professor, August 2010 - present

Penn State University, Clinical Translational Science Institute, Hershey, PA & Uni-versity Park, PAData Privacy Officer, June 2011 - June 2016

Penn State University, The Institute for CyberScience, University Park, PAAffiliated Faculty, January 2008 - present

Cornell University, The Labor Dynamics Institute, ILR School, Ithaca, NY.Visiting Professor, January 2013-May 2013

Utrecht University, Department of Methodology & Statistics, Utrecht, The Nether-lands.Visiting Researcher, September 2012-December 2012

University of Minnesota, The Institute for Mathematics and its Applications, Min-neapolis, MN. Annual Program: Applications of Algebraic GeometryVisiting Researcher, January-March 2007

Carnegie Mellon University, The Tepper School of Business, Pittsburgh, PATeaching Instructor, May - June 2002

Carnegie Mellon University, Department of Statistics, Pittsburgh, PAResearch Assistant, January 2003 - August 2004Research Assistant/Consultant, January 2001 - March 2002 Consultant to the NationalAcademy of Sciences/National Research Council Committee to Review the ScientificEvidence on the Polygraph.Teaching Instructor, Head Teaching Assistant, May 2000 - May 2004

Carnegie Mellon University, School of Computer Science, Pittsburgh, PA.Research Assistant, April 1997 - May 1999

TEACHINGEXPERIENCE

Penn State University

Analysis of Discrete Data (STAT 504 - PSU World Campus), Spring 2007-2011/Spring2014Analysis of Discrete Data (STAT 504), Spring 2005/06/07/08/09/10/11/15Applied Statistics (STAT 500 - PSU World Campus), Fall 2010Categorical Data Analysis (STAT 544), Fall 2008/09, Fall 2011Colloquium & Perspectives on Statistics (STAT 590), Fall 2014/15, Spring 2015/16Data Privacy (STAT 597B), Fall 2014Data Privacy (STAT 598B/CSE 598D), Fall 2007Design and Analysis of Experiments (STAT 512), Spring 2012Intermediate Applied Statistics (STAT 460), Fall 2004/05/06/07Introduction to Computing Environments (STAT 597C), Fall 2008/09Regression Analysis and Modeling (STAT 511), Fall 2011/13/17/18Sampling Theory and Methods (STAT 506 - PSU World Campus), Fall 2015Statistical Concepts and Reasoning (STAT 100), Spring 2016Science Outreach and Communications (SC 451) – supervising, Fall 2018/19.

Carnegie Mellon University

Introduction to Probability and Statistics (46731), Summer 2002Introduction to Statistical Reasoning (36201), Summer 2000

FACULTY,POSTDOC,STUDENTADVISING &MENTORING

Advisor, Science Achievement Graduate Fellows Program, Eberly College of Science,Penn State, January 2018 - presentAdvisor and Chair, Graduate Students Climate and Diversity Committee, Eberly Col-lege of Science, Penn State, January 2018 - presentFaculty Advisor, Statistics Graduate Students Association, Department of Statistics,Penn State, Fall 2014 - January 2018

Junior Faculty Mentor, for a number of faculty in the Statistics Department, Penn StateUniversity & 2019 NISS Writing Workshop for Junior Researchers (at JSM).

Training Mentors in STEM, for all faculty in Eberly College of Science, Penn StateUniversity, co-organizer of the program, including workshops.

Co-organizer and mentor, Women in Statistics and Data Science, Penn State Univer-sity, November 2019 - present.

Postdoc Advisor:• Roberto Molinari, 2018-present.• Jing Lei (joint Postdoc with Carnegie Mellon University), 2011.

PhD Thesis Advisor:• Claire Kelling (Statistics), expected May 2021 (co-advised, M. Haran)• Ann Johnson (Statistics), expected August 2020• Michelle Pistner (Statistics), expected August 2020• Jordan Awan (Statistics), expected May 2020 (co-advised, M. Reimherr)• Yuji Samizio (Statistics), expected December 2019• Joshua Snoke (Statistics), 2018 (Statistician, RAND)• Vishesh Karwa (Statistics), 2014 (Postdoctoral Fellow at Harvard and Carnegie Mel-

lon, Assistant Professor at Ohio State University)• Jeffery Woo (Statistics), 2013 (Lecturer, University of Virginia)• Juyoun Lee (Statistics), 2009 (Senior Manager at Samsung)

MS Thesis Advisor:• Yuji Samizio (Statistics), August 2016• Eftychia Solea (Statistics), May 2014• Nicole Khoury (Statistics), May 2013• Xiaotian Zhu (Mathematics), December 2008.• Byran Smucker (Statistics and Operations Research), December 2007

PhD Thesis Committee Member, minor advisor:• Mildred Maldonado-Molina (Human Development (statistics minor), 2005)• Lan Yu (Educational Psychology (statistics minor), 2007)• Tamika Gilreath (Biobehavioral Health Department (statistics minor) 2007)• Hyekyung Jung, (Statistics, 2007)• Bimal Balakrishnan (Mass Communication (statistics minor), 2008)• Gregorio Convertino (Information Sciences and Technology, 2008)• Yuejiao Ma (Statistics, 2009)• Alexander Yin (Higher Education (masters in applied statistics), 2009)

• Qiong Wu (Educational Psychology (statistics minor), 2009)• Joanna Bissel (Human Development (statistics minor), 2010)• Wen Hu (Civil Engineering (statistics minor), 2010)• Hong Li (Educational Psychology (statistics minor), 2011)• Kun-Feng Wu (Civil Engineering (statistics minor), 2011)• Claudia Nau (Social Science, 2012)• Anna Wu (Information Sciences and Technology (statistics minor), 2012)• Abhradeep Guha Thakurta (Computer Science and Engineering, 2013)• Yeying Zhu (Statistics, 2013)• Yu Zhao (Educational Psychology (statistics minor), 2015)• Fei Yu (Statistics, at Carnegie Mellon University), 2015)• Eftychia Solea (Statistics, 2016)• Nicholas Papernot (Computer Sciences and Engineering), 2018)• Mark Umbricht (Higher Education (statistics minor), 2018)• Yue Wang (Computer Sciences and Engineering), 2019)• William Wright (Mathematics (statistics minor), 2019)• Edward Zechmann (Acoustics (statistics minor), 2019)• Haining Zhu (Information Sciences and Technology (statistics minor)), 2019)• Fernando del Solar (Acoustics)• Aria Khademi (Information Sciences and Technology (statistics minor))• Kyung Sun Chung (Educational Psychology (statistics minor))• Daniel Kwon (Civil Engineering (statistics minor))• Adam Walder (Statistics)

MS Thesis Committee Member*, undergraduate, and project advisor:• Tran Tran (Statistics, Fall 2019-present)• Jeremy Seaman (Statistics, Fall 2019-present, so-advised with R. Molinari)• Jonathan Heihr (Statistics, Summer 2019-present)• Thomas Kent (Statistics, masters of applied statistics, Fall 2018-present)• Zhiyi He (Statistics, undergraduate honors thesis, Spring 2018-Spring 2019)• Anna Kinney (Statistics, Fall 2017 - Spring 2019, co-advised with M. Reimherr)• Jordan Awan (Statistics, Spring 2017-present)• Michelle Pitsner (Statistics, Summer 2016-present)• Ann Johnson (Statistics, Summer 2016-present, co-advised with S. Petrovic)• Ardalan Mirshani (Statistics, Summer 2015-Spring 2019, co-advised wtih M. Reimherr)• Ben Sheng (Stattsics, Summer 2015-present, co-advised with L. Bao)• Eftychia Solea (Statistics, Summer/Fall 2015, co-advised with B. Li)• Christopher Ipken (Demography, BDSS, Fall 2014-Spring 2015)• Muzi Zhang (Statistics, Summer 2015)• Anni Li (Statistics, undergraduate, Spring 2014)• Joshua Snoke (Statistics, Spring 2014 -Summer 2015)• Eftychia Solea (Statistics, Summer 2012)• Vishesh Karwa* (Civil Engineering, August 2009; independent study, Summer 2008)• Jeffery Woo (Statistics, independent study, Spring 2009)• Matthew Tibbits (Statistics, Summer/Fall 2007)• Tracey Wrobel (Statistics, Summer/Fall 2005)• Ashley Perretta (Statistics, undergraduate, independent study, Spring 2005)

PROFESSIONALACTIVITIES &AFFILIATIONS

Associate Editor:• Annals of Applied Statistics (AOAS), December 2009 - present• Journal of Privacy and Confidentiality (JPC), January 2009 - present• Journal of Statistical Computation and Simulation, June 2009 - August 2011.

Guest Editor:• Special issue of JPC, 2/1/2018-12/16/2019. Co-Editor, Lars Vilhuber.• Special issue of Algebraic Statistics, 3/3/2017-2/6/2019 Co-Editors, Sonja Petrovic

& Ruriko Yoshida.• Special issue of JPC, 4/1/2012. Co-Editor, Adam Smith.

Column Editor: CHANCE, November 2010 - present

Referee: Annals of Applied Statistics, Annals of Statistics, Bayesian Analysis, Bio-metrics, European Journal of Operational Research, Journal of American StatisticalAssociation, Journal of BIomedical Informatics, Journal of Official Statistics, Jour-nal of Royal Statistical Society, Journal of Statistical Planning and Inference, Journalof Symbolic Computation, Journal of the Italian Statistical Society, Management In-formation Systems Quarterly, Statistical Science, PNAS, Statistica Sinica, Section onBayesian Statistical Science (SBSS) Student Paper Competition Judging Committeefor JSM 2007 Awards Committee, Peer Reviewer for the National Science Founda-tion, the National Security Agency.

Advisory Committee:• National Opinion Research Center (NORC) Committee on Statistics, Chicago, IL,

August 2019 - present.• Advisory Committee for Graduate Education (ACGE), Penn State University, Jan-

uary 2018 - present.• Theory and Practice of Differential Privacy (TPDP) Steering Committee, December

2017 - present.• Clinical and Translational Science Institute (CTSI) Penn State Directors’ Council,

Penn State University. June 2016- present.• Chief Information Security Office (CISO) Advisory Board, Penn State University,

October 2015 - present.• Research Cyber Infrastructure (RCCI) Advisory Council, Penn State University.

May 2015 - June 2016.• IGERT Big Data Social Sciences Steering Committee, Penn State University. June

2012 - present.• Clinical and Translational Science Institute (CTSI) Penn State Directors’ Council,

Data Privacy Officer, Penn State University. June 2011- June 2016.• Law and Neuroscience Project advisory group, “Reasoning from Group Data to

Individual Decision Making.” Sponsored by the MacArthur Foundation. Chicago,September 9-11, 2010.

• Geographic Information Analysis (GIA) Core, Population Research Institute, PennState University, September 2010-present.

Organizing committee:• Workshop: Data Privacy: Foundations and Applications Reunion, Simons Institute

for the Theory of Computing, UC Berkeley, CA, June 8 - 11, 2020• Invited Session at SDSS 2019: “Computing in Data Privacy”, Pittsburgh, PA, June

3-6, 2020• Penn State University Math Alliance university level member November 2019 -

present, organizer and co-lead• Women in Statistics and Data Science Group, Department of Statistics, Penn State

University, November 2019 - present, co-organizer and co-lead• Mentoring Matters: Training Mentors in STEM ECoS Workshop, Eberly College of

Science (ECoS), Penn State University, Summer 2019 - present• Topic Contributed Session at JSM 2019: “Formal Privacy: Making an Impact on

Large Organizations”, Denver, CO, August 2019• Workshop: Privacy and the Science of Data Analysis, Simons Institute for the The-

ory and Computing, UC Berkeley, CA, Apr 8 - Apr 12, 2019.• ASA Webinar: “Privacy Day 2019 – Toward protecting the privacy of individuals

when disseminating data: Statistical data disclosure risk assessment case studies”,February 6, 2019.

• Semester program: Data Privacy: Foundations and Applications, Simons Institutefor the Theory of Computing, UC Berkeley, CA, January 15 - May 17, 2019.

• ASA Webinar: “Privacy Day 2018 – What is a Privacy Loss Budget and How Is Itused to Design Privacy Protection for a Confidential Database?”, February 1, 2018.

• Invited Session at JSM 2017: “Differential Privacy in Statistical Agencies: Presentand Future”, Baltimore, MD, August 2017.

• ASA Webinar: “Privacy Day 2017 – Differential Privacy: Protecting Individualsfrom Re-Identification”, February 10, 2017.

• Invited Session at ICML 2016: “Second International workshop on Theory and Prac-tice of Differential Privacy (TPDP 2016)” New York, NY, June 2016.

• Invited Session at JSM 2016: “Statistical Foundations of Data Privacy” Chicago, IL,August 2016.

• Invited Session at JSM 2015: “Has Informed Consent Outrun its Usefulness?”, Seat-tle, WA, August 2015.

• Fifth IEEE International Workshop on Privacy Aspects of Data Mining (PADM2014), Shenzhen, China, December 14, 2014.

• Invited Session at JSM 2014: “Genomic Privacy: Risk and Protection Methods”Boston, MA, August 2014.

• The Rao Prize Conference, 2013, Department of Statistics, PSU, October 5, 2013.• Invited Session at JSM 2013: “Session in honor of 70th birthday of Stephen E.

Fienberg and his nearly 50 years of statistical practice.” Montreal, CA, August 2013.• Conference & Tutorials: Algebraic Statistics in the Alleghenies 2012 at The Penn-

sylvania State University, Departments of Mathematics & Statistics, PSU, June 8-15, 2012.

• Workshop: Statistical and Learning-Theoretic Challenges in Data Privacy, IPAM,February 22-26, 2010.

• Invited Session at JSM 2009: “O’Privacy Where are Thou: Mapping the Landscapeof Data Privacy and Confidentiality,” Washington, DC, August 2009.

• Invited Session at JSM 2009: “Rigorous Foundation of Data Privacy and Confiden-tiality,” Washington, DC, August 2009.

• Workshop on Matrix Theory and Computations for Research in Social and PhysicalSciences, Department of Statistics, PSU, July 2006.

Program Committee:• Privacy in Statistical Databases Conference (PSD 2014, 2016, 2018). September

2014, 2016, 2018.• 2nd International Workshop on Genome Privacy and Security (GenoPri’15), 36th

IEEE Symposium on Security and Privacy, San Jose, CA, May 2015.• Workshop on Privacy Aspects of Data Mining (PADM 2011), IEEE International

Conference on Data Mining (ICDM 2011), December 2011.• Scientific Programme Committee for the ISI Young Statisticians Meeting, The ISI

World Congress, Dublin, August 2011.• Workshop on Privacy and Security Aspects of Data Mining, The Fifth and Sixth

IEEE International Conference on Data Mining, November 2005, October 2007.• Session on Computer Security and Data Privacy, the IEEE International Conference

on Granular Computing, May 2006.

Committee/Panel Member:• American Statistical Association (ASA) Committee on Privacy and Confidentiality

in Statistics, January 2012 - present (Vice-chair (January 2015-), Chair (January2018-)).

• The International Statistical Institute (ISI) Committee for Young Statisticians, Oc-tober 2011- October 2014.

• National Research Council, Transportation Research Board. Expert Task Group(ETG) on Data Access for Safety Data, Phase 1 (FA015), May 15, 2015 - December31, 2018.

• National Research Council, Transportation Research Board. Strategic HighwayResearch Program 2 (SHARP 2) Safety Expert Task Group (ETG) for TechnologyIssues Associated with Implementation of Safety Database, FAO13, July 1, 2014 -March 15, 2015.

• National Academy of Sciences, Committee on National Statistics’ Panel on Mea-suring and Collecting Pay Information from U.S. Employers by Gender, Race, andNational Origin, February 2011 - August 2012.

Committee/Panel Member, Penn State University:• Advisory Committee for Graduate Education (ACGE) Diversification of Graduate

Education Subcommittee (January 2018 - present).• University Graduate Fellowships and Awards Committee (August 2017 - January

2018)• IST Privacy & Security Faculty Search Committee (August 2017 - May 2018)• Social Data Analytics Program Committee (August 2017 - present)• Big Data Social Sciences IGERT Steering Committee (August 2012 - August 2017)• Strategic Planning Advisory Committee (May 2014), Eberly College of Science• Committee to Review Data Use Agreement Process (October 2012- May 2013),

Penn State Hershey College of Medicine• Promotion and Tenure Panel (P&T Workshop, Fall 2010, 2015), Eberly College of

Science• Mentoring Workshop Panel, Mentoring in the Middle (April 14, 2010), PSU Grad-

uate Student and Faculty Issues Committee

Committee Member, Department of Statistics, Penn State University:• Rock Ethics Data Faculty Search Committee (August 2017 - May 2018)• World Campus Program Coordinator (August 2017 - Summer 2018)• Bruce Lindsay VAP Selection Committee (August 2016-Summer 2018)• Associate Head for Equity and Diversity (October 2014-October 2017)• Associate Head for Graduate Studies (2013-January 2018)• Promotion and Tenure Committee (2010-present, Fixed-term subcommittee, 2016-

present)• Department Head Search Committee (2008/09, 2012, 2018)• Interdisciplinary Initiatives (2008-2012)• Hiring and Retention (2008-2011, 2019-2020)• Outreach Advisory, PSU Statistics World Campus (2008-present)• Primary Mentor STAT 460 (2008/09/10)• Master’s Exam (Chair, 2007/08,2012, 2011)• Graduate Admissions (including online MAS program) (2007-2012, 2014-present)• Graduate Admissions online MAS (2007-2012, 2014-2016)• Graduate Program (2005-present, Chair 2013-present)• PhD Exam (2005/06)• Colloquium Series (Chair, 2005)• Social (Chair, 2005-2012, 2004)• Advisory and Strategic Planning Committee (2004/05/06)• National Institute of Statistical Sciences, Liaison (2005-2017)• Statistical Consulting Center Faculty Advisory Committee (2005-2009)

Affiliations:• American Association for Advancement of Science (AAAS), 2019 - present• Caucus for Women in Statistics, 2019 - present• International Statistical Institute (ISI) - Elected member, 2012-present• International Society for Bayesian Analysis, 2004 - present• The Institute of Mathematical Statistics, 2002 - present• The American Statistical Association, - Fellow (2018), member, 2002 - present

HONORS • Fellow, The American Statistical Association (2018)• The 2017 Graduate School Alumni Society Graduate Program Chair Leadership

Award, Penn State University.• The Social Statistics, Government Statistics, and Survey Research Methods Sections

Joint Statistical Meetings 2016 winner of Student and Postgraduate Paper Competi-tion. Jointly with Joshua Snoke

• Elected member, The International Statistical Institute (2012)• The Social Statistics, Government Statistics, and Survey Research Methods Sections

Joint Statistical Meetings 2008 winner of Student and Postgraduate Paper Competi-tion. Jointly with Byran Smucker

• IMA Long Term Visitor to the Program in Applications in Biology, Dynamics, andStatistics. (January 31 - March 31, 2007). The Institute of Mathematics and ItsApplications (IMA). Minneapolis, MN

• Honorable Mention, Prize for the best student paper. The Committee on Statisticiansin Defense and National Security of the American Statistical Association (2003)

• Honorable Mention, Best contributed poster/papers of the Fifth International Con-ference on Forensic Statistics (2002)

• Phi Kappa Phi National Honor Society, Carnegie Mellon University (2001-present)• Duquesne University Tamburtizans Scholarship, Duquesne University (1993-1996)• Liebermann Scholarship for Academic Excellence, Duquesne University(1993-1996)

FUNDING NSF Award No. SES-1853209 (PI: M. Reimherr, co-PI: A. Slavkovic, M. Shriver).“Formal Privacy for Complex Data Objects.” Project dates: 09/05/2019 -09/04/2022 .Direct and indirect costs: $680,000.

U.S. Census Bureau 1333LB19P00000172 (PI: Slavkovic). The U.S. Census Bu-reau’s Dissertation Fellowship Program support for Michelle Nixon. Project dates:08/01/2019-08/31/2020. Direct and indirect costs: $50,000.

NIH UL1 TR000127 and TR002014. (PI: Dr. L. Sinoway). “Penn State Clinical andTranslational Science Institute”. Project dates: 09/01/16 - 08/31/2021. Specialist: A.

Slavkovic - 10% effort. Direct and indirect costs: $26,032,795.

NIH AH000611 “Privacy-protecting distributed analysis of biomedical big data”. (PI:D. Toh, Harvard Medical School and Harvard Pilgrim Health Care Institute). ProjectDates: 9/1/2016 - 8/31/2019. Penn State subcontract, co-PI: Slavkovic. Direct andindirect costs: $ 510,581.

NIH/NLM Grant number 182623 “Penn State Biomedical Big Data to Knowledge(B2D2K) Training Program.” (PI: M. Ritchie, faculty: A. Slavkovic). Project Dates:06/01/2016-05/28/2021. Direct and indirect costs: $ 208,067.

U.S. Census Bureau YA1323-RFQ-06-0802 (PI: Slavkovic). The U.S. Census Bu-reau’s Dissertation Fellowship Program support for Joshua Snoke. Project dates: 09/01/2016-08/31/2017. Direct and indirect costs: $50,000.

NSF Award No. SES-1534433 (PI: A. Slavkovic, PSU; co-PI: R. Steorts, Duke).“Collaborative Proposal: Record Linkage and Privacy-Preserving Methods for BigData”. Project dates: 09/15/15- 08/31/2019. Direct and indirect costs PSU $334,243.

Air Force STTR Phase I. Contract with Intelligent Automation Inc. (IAI). (PI: A.

Slavkovic and co-PI, D. Kifer, PSU). “RADAR: Risk Assessment of Disclosure viaAutomated Reasoning. Project dates: 10/27/2013-7/27/2014. $46,716.

NSF Award No: DGE-1144860 (PI: B. Monroe, co-PI: Giles, Hardy, MacEachren,Slavkovic). “IGERT: Big Data Social Science - An Integrative Education and ResearchProgram in Social Data Analytics”. Project dates: 06/01/2012 - 05/30/2017. Totalamount: $2,999,713. co-PI A. Slavkovic - 0.5 summer.

U.S. Census Bureau: YA1323-12-SE-0303 (PI: Slavkovic). The U.S. Census Bureau’sDissertation Fellowship Program support for Yong Ming Jeffrey Woo. Project dates:08/01/2012-07/31/2012. $50,000.

NSF Award No: DMS-1208837 (PI: J. Morton, The Pennsylvania State University.Co-PIs: S. Sullivant, North Caroline State University, M. Denker, S. Petrovic, A.

Slavkovic, PSU. “Conference and Summer School: Algebraic Statistics in the Al-leghenies”. Project dates: 05/01/2012-04/30/2013. $36,000.

NIH/NCRR Grant Number UL1RR033184 (PI: Dr. L. Sinoway). “Penn State Clinicaland Translational Science Institute”. Project dates: 07/01/11 - 06/31/2016. Aleksan-

dra Slavkovic - Data Privacy Officer - 1.8 calendar months effort.

NSF Award No. BCS-0941553 (PI: A. Slavkovic; co-PIs: J. Abowd (Cornell), S. Fien-berg (CMU), A. Smith (PSU), S. Raskhodnikova (PSU)). “CDI-Type II: IntegratingStatistics and Computational Approaches to Data Privacy.” Project dates: 09/01/2010- 08/31/2015. Direct and indirect costs PSU $1,025,626.

NSF Award No. SES-0532407. (PI: Slavkovic) ”Statistical Disclosure LimitationMethods for Tabular Data.” Project dates: 10/01/2005 - 09/30/2008, extended to 09/30/2010.Direct and indirect costs $260,000.

Collaborative research with National Institute of Statistical Sciences on NSF fundedproject EIA-0131884, (PI: Karr) ”Digital Government: Data Confidentiality, DataQuality and Data Integration for Federal Databases.” Project Dates: 05/01/2006-08/31/2006,and 05/01/2005 - 08/31/2005.

The Methodology Center Level-I pilot awarded from NIH NIDA 2 P50 DA10075 (PI:Collins) with E. Michael Foster. Project Dates: 05/01/2005 - 08/31/2005.

TRAVELGRANTS

The 9th International Society for Bayesian Analysis (ISBA) World Meeting. Hamil-ton Island, Australia (July 2008); The 7th World Congress of Probability and Statistics,Singapore (July 2008). Workshop on Data Confidentiality. Sponsored by National Sci-ence Foundation, Microsoft Corporation and IBM Almaden Research Center. Arling-ton, VA. (Sep 2007); Workshop on Algebraic Statistics and Computational Biology.(Nov 2005); The 69th Annual Meeting of the Institute of Mathematical Statistics andX Brazilian School of Probability (Aug 2006); Computer Science-Statistics Workshopon Privacy and Confidentiality (July 2005); DIMACS Workshop on Usable Privacyand Security Software (March 2004); Workshop on Computational Algebraic Statis-tics (Dec 2003); Challenges In Stochastic Computation Closing Workshop, SAMSI(June 2003); GROSTAT VI and 1st International School on Algebraic Statistics (Feb2003); The 5h International Conference on Forensic Statistics (Sep 2002).

INVITEDPRESENTATIONS

(Aug 1-6, 2020) Joint Statistical Meetings (JSM), Philadelphia, PA.

(Spring 2020) Department of Statistics, Rutgers University

(Spring 2020) Department of Biostatistics, Drexel University

(October 3-5, 2019) Women in Statistics and Data Science Conference, Bellevue, WA.

(October 11, 2019) Dean’s Advisory Board, Eberly College of Science, Penn StateUniversity, PA

INVITEDPRESENTATIONS

(July 28 - Aug 2, 2019) Joint Statistical Meetings (JSM), Vancouver, Canada.

(July 28 -30, 2019) 2019 NISS Writing Workshop for Junior Researchers (at JSM),Vancouver, Canada.

(February 16, 2019) AAAS Meetings, Washington, D.C.

(January 15, 2019) Simons Institute for the Theory of Computing, Berkeley, CA.

(July 29 - Aug 3, 2018) Joint Statistical Meetings (JSM), Vancouver, Canada.

(June 3-6, 2018) Statistical Society of Canada (SSC) Meeting, Montreal, Canada.

(May 28-29, 2018) Turing workshop on Statistics of Network Analysis, The AlanTuring Institute, London, UK.

(March, 2018 - tentative) Department of Statistics, Duke University, NC.

(January 10-12, 2018) Algorithmic Challenges in Protecting Privacy for BiomedicalData, Institute of Pure and Applied Mathematics (IPAM), UCLA, CA.

(Nov 14, 2017) SoDA 502, Penn State University, University Park, PA.

(23-24 October, 2017) DIMACS/Northeast Big Data Hub Workshop on OvercomingBarriers to Data Sharing including Privacy and Fairness. Center for Discrete Mathe-matics and Theoretical Computer Science (DIMACS), Rutgers University, Piscataway,NJ.

(11 September 2017) ENBIS-17, US Session. Naples. Italy.

(16-21 July, 2017) ISI WSC in Marrakech, Morocco (presented by J. Snoke).

(October 15, 2016) 2016 Celebration in Honor of Steve Fienberg, Department ofStatistics, Carnegie Mellon University, Pittsburgh, PA.

(July 2015) Institute of Mathematical Statistics Annual Meetings. Rio de Janeiro.Brazil. (presented by V. Karwa)

(August 2015) Joint Statistical Meetings. Seattle, WA. (presented by V. Karwa)

(April 2015) Workshop on Big Data for Social Policy. The Fields Institute for Researchin Mathematical Sciences, Toronto. Canada.

(March 2014) BERD (Biostatistics, Epidemiology and Research Design) seminar, CTSI,Penn State University, PA.

(November 2014) Applied Algebra and Network Theory Seminar. Department ofMathematics, Penn State University, PA.

(October 2014) Department of Statistics, University of Toronto, Toronto, Canada.

(October 2014) Department of Statistics. Georgia Tech, Atlanta, GA.

(September 2014) Conference on Privacy in Statistical Databases. Ibiza, Spain.

(August 2014) Joint Statistical Meetings. SAMSI Session. Boston, MA.

INVITEDPRESENTATIONS

(August 2014) Discussant. Joint Statistical Meetings. Boston, MA

(July 2014) Institute of Mathematical Statistics Annual Meetings. Sydney, Australia.

(June 2014) Panelist. Genomic Privacy. 13th Annual Workshop on the Economics ofInformation Security. Penn State University, PA.

(May 2014) Algebraic Statistics Conference. Illinois Institute of Technology, Chicago,IL. (presented by V. Karwa)

(February 2014) REM Seminar. College of Education. University of Florida, Gainesville,FL.

(January 2014) Research Data Center, Penn State, PA.

(November 2013) The Center for Medical Genomics. Penn State, PA.

(October 2013) Workshop on Social Network Data: Analysis and Collection. SAMSI,Research Triangle Park, NC

(October 2013) Panelist. Estimation of Re-Identification Risk Panel & Workshop, 10thInternational Conference on Health Policy Statistics (ICHPS) Conference, Chicago,IL.

(October 2013) Algebraic Statistics Seminar. Department of Applied Mathematics.Illinois Institute of Technology, Chicago, IL.

(September 2013) Workshop on Integrating Approaches to Privacy across the Re-search Life cycle. The Center for Research on Computation and Society. Harvard,Boston, MA.

(August 2013) Joint Statistical Meetings. Montreal, Canada.

(April 2013) Department of Statistics. Cornell University, Ithaca, NY.

(March 2013) Department of Statistics. Temple University, Philadelphia, PA.

(March 2013) Panelist. Symposium on Data Management in Biomedical Research:Information Challenges and Practical Strategies. Penn State Hershey and CTSI. Her-shey, PA.

(December 2012) Social Statistics Group. Department of Statistics. London School ofEconomics. London, UK.

(November 2012) EPFL Statistics Seminar. Laussane, Switzerland.

(October 2012) Methodology & Statistics Seminar. Utrecht University. Utrecht, Nether-lands.

(September 2012) Privacy in Statistical Databases. Palermo, Italy.

(March 2012) Department of Statistics, University of Pennsylvania, PA.

(February 2012) Applied Algebra Seminar. Department of Mathematics, Penn State,PA.

INVITEDPRESENTATIONS

(October 2011) Mini-symposium on Categorical Data: Contingency Tables and Net-work Structures, SIAM Conference on Applied Algebraic Geometry, North CarolineState University, NC.

(May 2011) The Fourth Erich L. Lehmann Symposium, Rice University, Houston, TX.

(July 2010) Society of Industrial and Applied Mathematics (SIAM), Annual Meeting,Pittsburgh, PA.

(March 2010) Advances in Algebraic Statistics. AMS Spring Southeastern SectionalMeeting, University of Kentucky, Lexington, KY.

(February 2010) Statistical and Learning-Theoretic Challenges in Data Privacy. Insti-tute For Pure and Applied Mathematics, Los Angeles, CA.

(February 2010) Department of Mathematics, California State University, Fullerton,CA.

(November 2009) Department of Statistics, Ohio State University, Columbus, OH.

(August 2009) Joint Statistical Meetings, Washington, DC.

(May 2009) Center for Statistical and Social Sciences, University of Washington, Seat-tle, WA.

(March 2009) Science, Technology, and Society Program, Penn State University, Uni-versity Park, PA.

(March 2009) Departments of Mathematics and Statistics, University of Kentucky,Lexington, KY.

(December 2008) Workshop in Algebraic Statistics. Mathematical Sciences ResearchInstitute (MSRI), Berkeley, CA.

(November 2008) Department of Statistics, University of California, Berkeley, CA.Neyman Seminar.

(July 2008) The 9th International Society for Bayesian Analysis (ISBA) World Meet-ing. Hamilton Island, Australia. Poster Session.

(July 2008) The 7th World Congress in Probability and Statistics. Singapore.

(May 2008) ORM/NCHS/CDC/NISS Workshop on Data Confidentiality: The NextFive Years. Hyattsville, MD

(February 2008) BSF/DIMACS/DyDAn Workshop on Data Privacy. Center for Dis-crete Mathematics & Theoretical Computer Science, Piscataway, NJ.

(January 2008) Methodology Center, Penn State, University Park, PA.

(October 2007) Workshop on Privacy and Security Aspects of Data Mining. 7th IEEEInternational Conference on Data Mining, Omaha, NE.

(October 2007) RAND, Pittsburgh, PA.

INVITEDPRESENTATIONS

(July 2007) Mathematical Institute of the Serbian Academy of Sciences and Arts, Bel-grade, Serbia.

(March 2007) Workshop in Applications in Biology, Dynamics, and Statistics. TheInstitute of Mathematics and Its Applications, Minneapolis, MN.

(December 2006) Conference on Privacy in Statistical Databases. Rome, Italy.

(December 2006) New York University Stern Business School, New York, NY.

(November 2006) The Quantitative Social Science Initiative, Penn State University,University Park, PA.

(July 2006) The National Institute of Statistical Sciences, Research Triangle Park, NC.

(June 2006) The Faculty of Mathematics, University of Belgrade, Belgrade, Serbia.

(March 2006) Data Confidentiality Mid-Year Workshop A Working Group in NationalDefense and Homeland Security at SAMSI. National Center for Health Statistics, Hy-attsville, MD.

(January 2006) AMS Special Session on Algebraic Statistics. Joint Mathematics Meet-ings, San Antonio, TX.

(August 2005) Eight North American Meeting of New Researchers in Statistics andProbability. Minneapolis, MN.

(July 2005) Computer Science-Statistics Workshop on Privacy and Confidentiality.University of Bologna Residential Center, Bertinoro (Forl), Italy.

(June 2005) Department of Mathematics, University of Novi Sad, Novi Sad, Serbia.

(June 2005) Statistical Office of the Republic of Serbia, Belgrade, Serbia.

(March 2005) Session on New Approaches to Statistical Access to Data in a Confiden-tial World. ENAR 2005, Austin, TX.

(December 2004) Session on Disclosure Limitation Methods for Protecting the Con-fidentiality of Statistical Data. International Conference on the Future of StatisticalTheory, Practice and Education, Hyderabad, India.

(November 2004) Workshop on Privacy and Security Aspects of Data Mining, 4thIEEE International Conference on Data Mining, Brighton, England.

(March 2004) DIMACS Workshop on Usable Privacy and Security Software. DI-MACS, Rutgers University, Piscataway, NJ.

(February 2004) Department of Statistics, Harvard University, Boston, MA.

(February 2004) Department of Statistics, Penn State University, University Park, PA.

(November 2003) Data Confidentiality Day. The Bureau of Labor Statistics, Washing-ton, DC.

INVITEDPRESENTATIONS

(August 2003) Joint Statistical Meeting, San Francisco, CA. Poster Session.

(July 2003) International Conference on Application of Computer Algebra. Raleigh,NC.

(June 2003) Challenges In Stochastic Computation Closing Workshop. SAMSI, Re-search Triangle Park, NC.

(June 2002) C. Warren Neel Conference on Statistical Data Mining & KnowledgeDiscovery. Knoxville, TN.

PRESENTATIONS (August 2011) Joint Statistical Meetings, Miami, FL.

(August 2006) The 69th Annual Meeting of the Institute of Mathematical Statistics andX Brazilian School of Probability. Instituto Nacional de Matemtica Pura e Aplicada(IMPA), Rio de Janeiro, Brazil.

(August 2005) Joint Statistical Meetings, Minneapolis, MN.

(October 2003) Math Department, University of California Berkeley.

(August 2003) Joint Statistical Meetings, San Francisco, CA. Contributed Paper Ses-sion on Disclosure/Confidentiality.

(September 2002) Fifth International Conference on Forensic Statistics. Isola di SanServolo, Venice, Italy. Honorable Mention among contributed papers.

(April 1999)ACM CHI’99 Conference on Human Factors in Computing Systems.Pittsburgh, PA. Poster.

INVITEDWORKSHOPS

(January 28 - February 1, 2019) Data Privacy: Foundations and Applications BootCamp, Simons Institute for the Theory of Computing, Berkeley, CA.

(May 29-30, 2018) The Turing Workshop on Social Network Analysis, The Alan Tur-ing Institute, London, UK.

(January 10-12, 2018) Algorithmic Challenges in Protecting Privacy for BiomedicalData, Institute of Pure and Applied Mathematics (IPAM), UCLA, CA.

( 23-24 October, 2017) DIMACS/Northeast Big Data Hub Workshop on OvercomingBarriers to Data Sharing including Privacy and Fairness. Center for Discrete Mathe-matics and Theoretical Computer Science (DIMACS), Rutgers University, Piscataway,NJ.

(April 2015) Workshop on Big Data for Social Policy. The Fields Institute for Researchin Mathematical Sciences, Toronto. Canada.

(December 2013) Big Data and Differential Privacy. The Simons Institute for theTheory of Computing, University of California, Berkeley, CA.

(May 2013) What to keep and how to analyze it: Data Curation and Data Analysiswith Multiple Phases. The Radcliffe Institute for Advanced Study, Harvard, Boston.MA.

(March 2013) Differential Privacy and Economics and the Social Sciences. SimonsFoundation, New York, NY.

(May 7- 11, 2012) User-Centered Modeling. The Institute for Mathematics and itsApplications (IMA) at the University of Minnesota.

(March 15-16, 2012) Workshop on Privacy and Confidentiality Issues in FinancialData Exchanges. Center for the Study of Global Financial Stability. Penn State, Uni-versity Park, PA.

(December 11-16, 2011) Singular learning theory. American Institute of Mathematics(AIM), Palo Alto, CA.

(December 16-17, 2010) Workshop on the Future of Observatories in the Social Sci-ences. Sponsored by the National Science Foundation’s Social, Behavioral and Eco-nomic Sciences Directorate, Arlington, VA.

(February 22-26, 2010) Statistical and Learning-Theoretic Challenges in Data Pri-vacy. Institute for Pure & Applied Mathematics (IPAM), Los Angeles, CA.

(December 15-18, 2008) Algebraic Statistics. Mathematical Sciences Research Insti-tute (MSRI). Berkeley, CA.

(May 1-2, 2008) Workshop on Data Confidentiality: The Next Five Years. Sponsoredby Office of Research and Methodology (ORM), National Center for Health Statistics(NCHS), CDC, National Institute of Statistical Sciences (NISS). Hyattsville, MD.

(February 4-8, 2008) Workshop on Data Privacy. Sponsored by BSF/DIMACS Centerfor Discrete Mathematics & Theoretical Computer Science. Piscataway

(September 6-8, 2007) Workshop on Data Confidentiality. Sponsored by National Sci-ence Foundation, Microsoft Corporation and IBM Almaden Research Center. Arling-ton, VA.

(January 31-March 31, 2007) Applications of Algebraic Geometry. The Institute forMathematics and Its Applications (IMA), Minneapolis, MN.

(March 13, 2006) Data Confidentiality Mid-Year Workshop A Working Group in Na-tional Defense and Homeland Security at SAMSI. National Center for Health Statistics,Hyattsville, MD.

(November 12-14. 2005) Workshop on Algebraic Statistics and Computational Biol-ogy. Clay Mathematics Institute, Boston, MA.

(July 9-15, 2005) Computer Science-Statistics Workshop on Privacy and Confidential-ity, University of Bologna Residential Center, Bertinoro (Forl), Italy.

(November 1-4, 2004). Workshop on Privacy and Security Aspects of Data Mining.4th IEEE International Conference on Data Mining, Brighton, UK.

(March 15-16, 2004) DIMACS Workshop on Usable Privacy and Security Software.Center for Discrete Mathematics & Theoretical Computer Science, Piscataway, NJ.

(December 14-18, 2003) Workshop on Computational Algebraic Statistics. American

Institute of Mathematics, Palo Alto, CA.

(February 17-23, 2003) GROSTAT VI and First International School on AlgebraicStatistics. Menton, France.

WORKSHOPS (September 2019) (New Administrator Seminar. Penn State University, University,Park, PA.

(May 6-10, 2019) Evidence-Based Teaching Academy. Center for Excellence in Sci-ence Education, Eberly College of Science, Penn State University, University Park,PA.

(April 2016) Strong Women/Strategic Performance Course. Penn State University,University Park, PA.

(October 2013) International graduate students. International Student and ScholarAdvising. Penn State University, University Park, PA.

(August 2013) Computational Methods in Social Sciences, SAMSI, Research TrianglePark, NC.

(October 2011) CTSI Tracking and Evaluation Workshop. Hershey College of Medicine,Hershey, PA.

(November 2010) Census Research Data Center Network: Annual Research Confer-ence, Maryland Population Research Center, University of Maryland, College Park,MD.

(October 2010) STRIDE Workshop, Pennsylvania State University, University Park,PA.

(September 2008) Discrete Models in Systems Biology. SAMSI, Research Triangle,NC.

(May 2008) Nonparametric Statistics and Mixture Models: Past, Present and Future.Penn State University, University Park, PA.

(June 2007) 12th Summer Institute on Longitudinal Methods. The Methodology Cen-ter, Penn State University, University Park, PA.

(September 2007, 2005, 2003, 2001) Case Studies in Bayesian Statistics. Departmentof Statistics, Carnegie Mellon University, Pittsburgh, PA.

(October 2005) The Methodology Center Fall Retreat. The Methodology Center, PennState University, University Park, PA.

(March 2003) Privacy in Data. ALADDIN Center & the Data Privacy Lab, CarnegieMellon University, Pittsburgh, PA.

REFEREEDPUBLICATIONS

A. Slavkovic and R. Molinari (2019). “Roles of Robust Statistics in DifferentiallyPrivate Inference”. Submitted.

J. Awan and A. Slavkovic (2019). “Differentially Private Inference for Binomial Data”.Journal of Privacy and Confidentiality, 10(1). https://doi.org/10.29012/jpc.725

J Awan, A Kenney, M Reimherr, A Slavkovic (2020). “Benefits and Pitfalls of theExponential Mechanism with Applications to Hilbert Spaces and Functional PCA”.Proceedings of the 36th International Conference on International Conference on Ma-chine Learning (ICML 2019), 97:374–384. https://arxiv.org/abs/1901.10864

Ardalan Mirshani, Matthew Reimherr, and A. Slavkovic (2019) “Formal Privacy forFunctional Data with Gaussian Perturbation.” Proceedings of the 36th InternationalConference on International Conference on Machine Learning (ICML 2019), 97:4595-4604. http://proceedings.mlr.press/v97/mirshani19a/mirshani19a.pdf

Awan, J. and Slavkovic, A. (2018) “Structure and Sensitivity in Differential Privacy:Comparing K-Norm Mechanisms.” Second round JASA. https://arxiv.org/abs/1801.09236.

B. Li, V. Karwa, A. Slavkovic, B. Steorts. (2018) “A Privacy Preserving Algorithm toRelease Sparse High-dimensional Histograms.” Journal of Privacy and Confidentiality8 (1)

Awan, J. and Slavkovic, A. (2018) “Differentially private uniformly most powerfultests for binomial data.” NIPS 2018. https://arxiv.org/abs/1801.09236.

M Pistner, A Slavkovic, and L Vilhuber. (2018) “Synthetic Data via Quantile Regres-sion for Heavy-Tailed and Heteroskedastic Data”. International Conference on Privacyin Statistical Databases (PSD 2018). 92-108.

Joshua Snoke and Aleksandra Slavkovic (2018). “pMSE Mechanism: DifferentiallyPrivate Synthetic Data with Maximal Distributional Similarity”. International Confer-ence on Privacy in Statistical Databases (PSD 2018). 138-159.

Joshua Snoke, Timothy Brick, Aleksandra Slavkovi´c and Micheal Hunter, (2018).“Providing Accurate Models across Private Partitioned Data: Secure Maximum Like-lihood Estimation”, Annals of Applied Statistics, Volume 12, 877-914.https://projecteuclid.org/euclid.aoas/1532743480

Snoke, J., B. Nowok, G. M. Raab, C. Dibben, and A. Slavkovic (2018). “Generaland specific utility measures for synthetic data.” Journal of Royal Statistical Society A(JRSS-A), Volume 181, Issue 3, 663-688. https://doi.org/10.1111/rssa.12358

Jing Lei, Anne-Sophie Charest, Aleksandra Slavkovic, Adam Smith, Stephen Fienberg(2018) “Differentially Private Model Selection with Penalized and Constrained Like-lihood”. Journal of Royal Statistical Society, Series A (JRSS-A). Volume 181, Issue 3,609-633. https://doi.org/10.1111/rssa.12324

REFEREEDPUBLICATIONS

Solea, E, Li, B. and Slavkovic, A. (2018)“BRIC and MINT: statistical learning ofemerging markets ”. Journal of Applied Statistics, Volume 45, Issue 3, 487-507 -Online January 31, 2017. https://doi.org/10.1080/02664763.2017.1280452

Ben Sheng, Kimberly Marsh, Aleksandra B. Slavkovic, Simon Gregson, Timothy B.Hallett, Jeffrey W. Eaton, Le Bao. (2017) “Statistical Models for Estimating HIV/AIDSEpidemics with Multiple Types of Prevalence Data”. AIDS. Vol 31.

Karwa, V., Krivitsky, P. and Slavkovic, A., (2017) “Sharing Social Network Data: Dif-ferentially Private Estimation of Exponential Family Random Graph Models.” Journalof Royal Statistical Society, Series C (JRSS-C). Volume 66, Part 3, 1-20.

Joshua Snoke, Timothy Brick, and Aleksandra Slavkovic, (2016). “Accurate Estima-tion of Structural Equation Models with Remote Partitioned Data”, J. Domingo-Ferrer,eds., Privacy in Statistical Databases – PSD 2016, Lecture Notes in Computer Science(LNCS) 9837, pages 190-209. Berlin, Springer-Verlag.

Karwa, V., and Slavkovic, A. (2016) “Inference using noisy degrees: DifferentiallyPrivate �-model and synthetic graphs.” The Annals of Statistics. Volume 44, Number1, 87-112. http://arxiv.org/abs/1205.4697

Karwa, V., Kifer, D. and Slavkovic (2015). “Private Posterior distributions from Vari-ational approximations”. NIPS 2015 Workshop on Learning and Privacy with Incom-plete Data and Weak Supervision. Montreal, Canada.http://giorgiopatrini.org/nips15workshop/contributions/. http://arxiv.org/abs/1511.07896

Slavkovic, A., Zhu, X. and Petrovic, S. (2015) “Fibers of multi-way contingency tablesgiven conditionals: relation to marginals, cell bounds and Markov bases.” Annals ofthe Institute of Statistical Mathematics. Vol. 67, pages 621-648. Published online June25, 2014: DOI 10.1007/s10463-014-0471-z

Woo, Y.M.J. and Slavkovic, A. (2014) “Generalized Linear Models with VariablesSubject to Post Randomization Method”. Statistica Applicata - Italian Journal of Ap-plied Statistics. Special issue of Official Statistics. Vol 24 (1), pages 29-56.

Karwa, V., Slavkovic, A., Krivitsky, P. (2014) “Differentially Private Exponential Ran-dom Graphs.” J. Domingo-Ferrer, eds., Privacy in Statistical Databases – PSD 2014,Lecture Notes in Computer Science (LNCS) 8744, pages 143-155. Berlin, Springer-Verlag.

Yu, F., Fienberg, S., Slavkovic, A, Uhler, C. (2014) “Scalable Privacy-Preserving DataSharing Methodology for Genome-Wide Association Studies.” Journal of BiomedicalInformatics. Special Issue on Informatics Methods in Medical Privacy. Vol. 50., pages:133-141. http://arxiv.org/abs/1401.5193

REFEREEDPUBLICATIONS

Alyssa Goodman, Alberto Pepe, Alexander W. Blocker, Christine L. Borgman, KyleCranmer, Merce Crosas, Rosanne Di Stefano, Yolanda Gil, Paul Groth, Margaret Hed-strom, David W. Hogg, Vinay Kashyap, Ashish Mahabal, Aneta Siemiginowska, Alek-sandra Slavkovic. (2014) “10 Simple Rules for the Care and Feeding of Scientific

Data.” PLOS Computational Biology. 10 (4), 1-5.http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003542

Karwa, V. and Slavkovic, A. (2013) “Conditional inference given partial information incontingency tables using Markov bases.” WIREs Computational Statistics: AdvancedReview. 5(3), 207-218.

Uhler, C., Slavkovic, A. and Fienberg, S. (2013) “Privacy Preserving Data Sharingfor Genome-Wide Association Studies.” Journal of Privacy and Confidentiality. 5(1),137-166.

Karwa, V. and Slavkovic, A. (2012) “Differentially private graphical degree sequencesand synthetic graphs.” J. Domingo-Ferrer and L. Francon, eds., Privacy in StatisticalDatabases – PSD 2012, Lecture Notes in Computer Science. No.7556, pages 273-285.Berlin, Springer-Verlag.

Woo, Y.M.J. and Slavkovic, A. (2012) “Logistic Regression with Variables Subjectto Post Randomization Method.” J. Domingo-Ferrer and L. Francon, eds., Privacy inStatistical Databases – PSD 2012, Lecture Notes in Computer Science. No.7556,pages 116-130. Berlin, Springer-Verlag.

Fienberg, S., Slavkovic, A. and Uhler, C. (2012) “Privacy Preserving GWAS DataSharing.” Proceedings of Data Mining Workshops (ICDMW). The 11th IEEE Interna-tional Conference on Data Mining. pages 628-635. IEEE press.

Smucker, B., Slavkovic, A.B. and Zhu, X. (2012) “Cell Bounds in k-way Tables givenConditional Frequencies.” Journal of Official Statistics., Vol. 28, Issue 1, pages 121-140.

Convertino, G, Mentis, H., Slavkovic, A., Rosson, M.B., and Carroll, J.M. (2011).“Supporting Common Ground and Awareness in Emergency Management Planning: ADesign Research Project”. Hiltz, R and Diaz, P., ads. ACM Transactions on Computer-Human Interaction (TOCHI). Special Issue on Media & Collaborative Systems forCrisis Management. Vol. 18, Issue 4, article 22.

Karwa, V., Slavkovic, A. and Donnel, E.T. (2011). “Causal Inference in TransportationSafety Studies: Comparison of Potential Outcomes and Causal Diagrams.” Annals ofApplied Statistics. Vol. 5, Issue 2B, pages 1428-1455.

Altman, N., Wang, Q., Karwa, V. and Slavkovic, A. (2010).“Resolving Isoform Ex-pression using Digital gene Expression Data.” Journal of Indian Society of AgriculturalStatistics. Special Issue on Statistical Genomics. Vol. 64, Issue 1, pages 19-31.

REFEREEDPUBLICATIONS

Slavkovic, A. B. (2010). “Partial Information Releases for Confidential ContingencyTable Entries: Present and Future Research Efforts.” Journal of Privacy and Confiden-tiality. Vol. 1, Issue 2, Article 9.

Slavkovic, A.B. and Lee, J. (2010). “Synthetic two-way contingency tables that pre-serve conditional frequencies.” Statistical Methodology. Special Issue on StatisticalMethods for Social Sciences. Vol 7, Issue 3, pages 225-239.

Duy,V. and Slavkovic, A. (2009) “Differential Privacy for Clinical Trial Data: Prelim-inary Evaluations.” Proceedings of the International workshop on Privacy Aspects ofData Mining, PADM09, pages 138-143. IEEE Press.

Slavkovic, A. and Fienberg, S.E. (2009). “Algebraic Geometry of 2 ⇥ 2 ContingencyTables.” In P. Gibilisco, E. Riccomagno, M.P. Rogantin, H.P. Wynn, eds., Algebraicand Geometric Methods in Statistics, pages 63-81. Cambridge University Press, UK.

Fienberg, S.E., Nardi, Y, Slavkovic, A.B. (2009). “Valid Statistical Analysis for Lo-gistic Regression with Multiple Sources.” In Gal, C.S., Kantor, P.B., Lesk, M.E., eds.,Protecting Persons While Protecting the People. Lecture Notes in Computer ScienceNo. 5661, pages 82-94. Springer, Heidelberg.

Convertino, G., Mentis, H.M., Rosson, M.B., Slavkovic, A., and Carroll, J.M. (2009).“Supporting Content and Process Common Ground in Computer - Supported Team-work.” In Proceedings of the 27th international conference on Human factors in com-puting systems, pages 2339-2348. ACM Press, NY.

Dobra, A., Fienberg, S.E., Rinaldo, A., Slavkovic, A. and Zhou, Y. (2009). “AlgebraicStatistics and Contingency Table Problems: Log-linear models, likelihood estimation,and disclosure limitation.” In M. Putinar and S. Sullivant, eds., Emerging Applicationsof Algebraic Geometry: IMA Volumes in Mathematics and its Applications, Vol. 149,pages 63-88.

Smucker, B., and Slavkovic, A.B. (2008). “Cell Bounds in Two-Way ContingencyTables Based on Conditional Frequencies.” In J. Domingo-Ferrer and Y. Saygin, eds.,Privacy in Statistical Databases – PSD 2008, Lecture Notes in Computer ScienceNo.5262, pages 64-77. Berlin, Springer-Verlag.

Convertino G., Mentis H., Rosson M.B., Carroll J.M., Slavkovic, A., and Ganoe, C.H.(2008). “Articulating Common Ground in Cooperative Work: Content and Process.”In Proceeding of the twenty-sixth annual SIGCHI conference on Human factors incomputing systems, pages 1637-1646. ACM Press, NY

Fienberg, S.E. and Slavkovic, A.B. (2008). “A Survey of Statistical Approaches toPreserving Confidentiality of Contingency Table Entries.” In C. Aggrawal and P. Yu,eds., Privacy-Preserving Data Mining: Models and Algorithms, Vol. 34, pages 291-312. Springer, New York.

Slavkovic, A.B., Nardi, Y. and Tibbits, M.M. (2007). “Secure Logistic Regression ofHorizontally and Vertically Partitioned Distributed Databases.” Proceedings of Work-shop on Privacy and Security Aspects of Data Mining, pages 723-728. IEEE ComputerSociety Press.

REFEREEDPUBLICATIONS

Fienberg, S.E, Fulp, W.J., Slavkovic, A.B. and Wrobel, T. (2006). “Secure Log-Linearand Logistic Regression Analysis of Distributed Databases.” In J. Domingo-Ferrerand L. Francon, eds., Privacy in Statistical Databases – PSD 2006, Lecture Notes inComputer Science No.4302, pages 277-290. Berlin, Springer-Verlag.

Slavkovic, A. and Sullivant, S. (2006). “The Space of Compatible Full Conditionalsis a Unimodular Toric Variety.” Special Issue of Journal of Symobolic Computation.41(2), pages 196-209.

Fienberg, S.E. and Slavkovic, A.B. (2005). “Preserving the Confidentiality of Categor-ical Statistical Data Bases When Releasing Information for Association Rules.”DataMining and Knowledge Discovery Journal. 11(2), pages 155-180.

Slavkovic, A.B. (2004). “Statistical Disclosure Limitation with Released Marginalsand Conditionals for Contingency Tables.” Proceedings of Workshop on Privacy andSecurity Aspects of Data Mining ICDM ’04. pages 13-20. IEEE Computer SocietyPress.

Slavkovic, A.B. and Fienberg, S.E. (2004). “Bounds for Cell Entries in Two-WayTables Given Conditional Frequencies.” Domingo-Ferrer, J, ,Vicence, T. (eds.) Pro-ceedings of Privacy in Statistical Databases – PSD’2004. Springer Lecture Notes inComputer Science No.3050, pages 30-43.

Fienberg, S.E. and Slavkovic. A.B. (2004). “Making the Release of Confidential Datafrom Multi-Way Tables Count.” Chance. Vol.17, 3, pages 5-10.

Slavkovic, A. (2004). “Automated Scoring of Polygraph Data.” In H. Bozdogan,ed., Statistical Data Mining and Knowledge Discovery, Chapman & Hall/CRC Press,pages 135-155.

Patrick, E., Cosgrov, D., Slavkovic, A., Rode, J.A., Verratti, T., Chiselko, G. (2000).“Using a Large Projection Screen as an Alternative to Head Mounted Displays forVirtual Environments.” Proceedings of the ACM CHI 2000 Conf. on Human Factorsin Computing Systems, pages 478-485. ACM Press, New York.

Slavkovic, A. and Cross, K. (1999). “Novice Heuristics Evaluation of a ComplexInterface.” Extended Abstracts of the ACM CHI 1999 Conference on Human Factorsin Computing Systems, pages 96-101. ACM Press, New York.

NON-REFEREEDPUBLICATIONS

Carriquiry, Alicia L., Nancy Reid, and Aleksandra B. Slavkovic. Forthcoming. StephenElliott Fienberg 1942-2016, Founding Editor of the Annual Review of Statistics andIts Application.” Annual Review of Statistics and Its Application.

A. Slavkovic and L. Vilhuber (2018). Remembering Stephen Fienberg. Editorial forVolume 8 (1), Journal of Privacy and Confidentiality.

E. Erosheva and A. Slavkovic (April 2017). Obituary: Stephen E. Fienberg, 1942?2016,Institute of Mathematical Statistics (IMS) Bulletin. 46:45.

Snoke, J., B. Nowok, G. M. Raab, C. Dibben, and A. Slavkovic (2016b). General andspecific utility for synthetic data. Technical report, Joint Statistical Meetings. Ameri-can Statistician Association Student Paper Competition: Social Statistics, GovernmentStatistics, and Survey Statistics Methodology Sections. Best paper award.

Slavkovic, A and Yu, F. (2015). Genomic Privacy: Risk and Protection Methods.CHANCE, Vol. 28, No. 2.

Slavkovic, A (2013). Steve the Matchmaker: The Marriage of Statistics and ComputerScience in the World of Data Privacy. CHANCE, Vol. 26, No. 4.

Behseta, S. and Slavkovic, A (2013). Interview with Steve Fienberg. CHANCE, Vol.26, No. 4.

Woo, Y.M.J. and Slavkovic, A (2012). “Logistic Regression subject to PRAM”. Pro-ceedings of the Federal Committee on Statistical Methodology Research Conference.January 2012. Washington, DC.

Petrovic, S. and Slavkovic, A (2010). “Algebraic Statistics”. International Encyclope-dia of Statistical Science. Springer-Verlag.

Fienberg, S. E. and Slavkovic, A (2010). “Data Privacy and Confidentiality”. Interna-tional Encyclopedia of Statistical Science. Springer-Verlag.

Slavkovic, A. (2008). “Coding: Statistical Data Masking Techniques” in E. Melnickand B.Eviritt, eds., Encyclopedia of Quantitative Risk Assessment. Vol 1. John Wiley& Sons Limited, Chichester, UK.

Fienberg, S., Karr, A., Nardi, Y, and Slavkovic, A. (2007). Secure logistic regressionwith distributed databases. In Proceedings of the 56th Session of the ISI, The Bulletinof the International Statistical Institute. Published on the CD Proceedings of ISI 2007.

Slavkovic, A. (2002). Evaluating Polygraph Data. Technical Report 766. Departmentof Statistics. Carnegie Mellon University.

IN PREPARATION Adam Walder, Ephraim Hanks, and Aleksandra Slavkovic. “Privacy for Spatial PointProcess Data”. Best student paper award 2020, ASA Government Section.

Michelle Pitsner, Aleksandra Slavkovic. “High dimensional synthetic data via quantileregression”.

Yuji Samizo, Aleksandra Slavkovic.“Secure lasso with distributed databases”.

Slavkovic, A., Airolodi, E., and Fienberg, S. “A review of the geometry of contingencytables”.

Karwa, V., Kifer, D., Slavkovic, A. “Constructing accurate and private classifiers usingBayesian decision theory and Variational MM algorithms.”

Woo, J., Slavkovic, A. and Richards, D. “Optimal PRAM with Respect to DisclosureControl.”

Woo, J., and Slavkovic, A. “Generalized Linear Model Estimation with PRAM, withDependent Covariates”.

EDITORIAL Joint Editor (with L. Vilhuber). Special issue of Journal of Privacy and Confidential-ity. 2/1/2018-12/23/18.

Joint Editor (with S. Petrovic & R. Yoshida). Special issue of Algebraic Statistics.3/3/2017-present.

Joint Editor (with A. Smith). Special issue of Journal of Privacy and Confidentiality.4/1/2012.

Column Editor, A. Slavkovic. Roey, S., Krenzke, T. and Perkins, R., (2015) Can “Dirty”Data be Your Friend. CHANCE Column O Privacy, Where Art Thou. VOl. 28, No. 4.

Column Editor, A. Slavkovic. A.S. Charest (2013). Privacy Protection for the EuropeanCensus Hub. CHANCE Column O Privacy, Where Art Thou. VOl. 26, No. 1.

Column Editor, A. Slavkovic. J. Lane (2013). Protecting Privacy and Confidentiality inan Era of Big Data Access. CHANCE Column O Privacy, Where Art Thou. VOl. 25,No. 4.

Column Editor, A. Slavkovic. J. Reiter (2012). Statistical Disclosure Limitation Re-search and Practice: Fascinating and Growing Areas of Importance. CHANCE ColumnO Privacy, Where Art Thou. VOl. 25, No. 1.

Column Editor, A. Slavkovic. S. Kinney and A. Karr (2011). Research Access toRestricted-Use Data. CHANCE Column O Privacy, Where Art Thou. VOl. 24, No. 4.

Column Editor, A. Slavkovic. J. M. Abowd and L. Vilhuber(2011). Science, Confiden-tiality, and the Public Interest. CHANCE Column O Privacy, Where Art Thou. VOl.24, No. 3.

Column Editor, A. Slavkovic. S.E. Fienberg (2011). What Should Privacy Mean toYou?. CHANCE Column O Privacy, Where Art Thou. VOl. 24, No. 2.

COMPUTERSKILLS

Software: R, S-plus, SAS, SPSS, Minitab, Matlab, LattE, 4ti2Programming: elementary knowledge of C++, Java, HTML.Operating Systems: UNIX/Linux, Windows, Macintosh.

LANGUAGES Serbian (native), English (fluent), German and Spanish (beginner)

NON-PROFITACTIVITIES &AFFILIATIONS

Duquesne University Tamburitzans - dance, vocal, flute, interpreter, 1993-96Performer with the Serbian National Federation Cultural Department

Carnegie Mellon University Ballroom Dance ClubPenn State University Ballroom Dance Club & Social Dance club