Appendix G

Biographical Sketches of the Panel

TRIVELLORE RAGHUNATHAN is a professor of biostatistics in the School of Public Health and a research professor at the Institute for Social Research, both at the University of Michigan. He is also a member of the research faculty at the Joint Program in Survey Methodology at the University of Maryland. Raghunathan is a fellow of the American Statistical Association, and he received the Remington award from the American Heart Association as well as the Statistical Partnerships Among Academe, Industry, and Government Award and the Monroe Sirken Award, both from the American Statistical Association. He has served on the National Academies of Sciences, Engineering, and Medicine’s Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Methods and the Panel to Review Programs of the Bureau of Justice Statistics. Raghunathan served as chair of the Department of Biostatistics and director of the Survey Research Center. His research interests are in the analysis of incomplete data, multiple imputation, Bayesian methods, design and analysis of sample surveys, small area estimation, confidentiality and disclosure limitation, longitudinal data analysis, and statistical methods for epidemiology. He also developed free software (IVEware) for implementing a sequential regression approach for multiple imputations, which can be downloaded from the website www.iveware.org. He received MS degrees from both Miami University and Nagpur University, India, and a PhD degree from Harvard University.

SCOTT H. HOLAN is professor of statistics at the University of Missouri, and is co-editor-in-chief of the International Statistical Review. He currently serves on an Intergovernmental Personnel Act Agreement as a senior

research fellow at the U.S. Census Bureau in the Office of the Associate Director for Research and Methodology (Research and Methodology Directorate), where he mainly conducts research on various uses of multivariate spatio-temporal modeling, such as applications to the American Community Survey and the 2020 Census. Holan is an elected fellow of the American Statistical Association, an elected member of the International Statistical Institute, and an elected fellow of the Institute of Mathematical Statistics. His research expertise includes dependent data modeling (spatial, spatio-temporal, functional, and multivariate, among others), Bayesian methods, official statistics, and survey methodology. Holan previously was co-awarded the Statistical Partnerships Among Academe, Industry, and Government Award. He has previously served on a National Research Council Panel for Addressing Priority Technical Issues for the Next Decade of the American Community Survey and a Steering Committee for Review of Confidentiality Criteria for Survey of Earned Doctorate Data. Holan has a PhD in statistics from Texas A&M University.

V. JOSEPH HOTZ is the Arts and Sciences Distinguished Professor of Economics and Public Policy at Duke University. Prior to his current appointment, he held faculty positions at the University of California, Los Angeles, the University of Chicago, and Carnegie Mellon University. Hotz is an elected fellow of the Econometric Society, the Society of Labor Economists, and the International Association of Applied Econometrics. His research areas include the economics of the family, economic demography, labor economics, population health, and applied econometrics. Hotz previously served as the chair of the Population Association of America’s Committee on Population Statistics, as a member of the NORC New National Longitudinal Survey Assessments Oversight Committee, and as a member of the Committee on National Statistics. He has served on many National Academies of Sciences, Engineering, and Medicine consensus panels and workshop planning committees, including the planning committee for the Workshop on 2020 Census Data Products: Data Needs and Privacy Considerations, which he co-chaired. Hotz received his PhD in economics from the University of Wisconsin–Madison.

THOMAS KRENZKE is vice president and senior statistical fellow in Westat’s Statistics and Data Science. He currently leads Westat’s Confidentiality Work Group, and he serves on the Westat Institutional Review Board. Krenzke is a fellow of the American Statistical Association (ASA), and he is the Council of Chapters Governing Board District 2 vice chair. He was chair of the ASA Committee on Privacy and Confidentiality and president of the Washington Statistical Society. Krenzke leads research in statistical

confidentiality, sample design, non-probability sampling, small area estimation, variance estimation, imputation, and nonresponse bias. He adds new statistical capabilities by developing software for disclosure avoidance; nonresponse bias analysis; area sampling unit formation, stratification, and selection; classification trees; generalized regression estimation; and imputation. Krenzke holds an MS in applied statistics from Bowling Green State University.

FANG LIU is professor of applied and computational mathematics and statistics (ACMS) and associate chair of the ACMS department at the University of Notre Dame. At the University of Notre Dame, she is also affiliated with the Harper Cancer Research Institute, the Eck Institute of Global Health, the Technology Ethics Center, and the Lucy Family Institute for Data and Society. Liu is the co-editor of the “O Privacy, Where Art Thou” column for CHANCE, associate editor of Transactions on Data Privacy, and founding co-editor-in-chief of ACM Transactions on Probabilistic Machine Learning. Liu is an elected fellow of the American Statistical Association. She serves on the Committee of Privacy and Confidentiality of the American Statistical Association. Liu’s research focuses on the development and application of modern approaches in statistical machine learning and data privacy protection. She also develops and applies statistical methodologies, especially Bayesian statistics, to analyze data originating from the medical, biological, and social sciences. This research is mainly funded by the National Science Foundation, National Institutes of Health, Gates Foundation, and Unitaid. Liu holds a BS from Peking University, an MS from Iowa State University, and a PhD from the University of Michigan, Ann Arbor.

ROBERT A. MOFFITT is Krieger-Eisenhower Professor of Economics at Johns Hopkins University and holds a joint appointment in the Johns Hopkins Bloomberg School of Public Health. He is a member of the National Academy of Sciences, a fellow of the American Academy of Arts and Sciences, a fellow of the Econometric Society, a fellow of the Society of Labor Economists, and a recipient of a Guggenheim Fellowship and a National Institutes of Health MERIT award. Moffitt serves on the advisory board for a new synthetic data file of tax information for the Urban Institute and the U.S. Department of the Treasury. His research interests include social policy, welfare programs, poverty, family structure, labor markets, income volatility, and applied statistical methods. He is a past president of the Society of Labor Economists and of the Population Association of America, and was chief editor of the American Economic Review, coeditor of the Review of Economics and Statistics, and chief editor of the Journal of Human Resources. Moffitt taught at Rutgers University and Brown University before his current teaching position at Johns

Hopkins University. He holds a BA in economics from Rice University and a PhD in economics from Brown University.

AMY PIENTA (she/her) is a research professor and director of business and collection development at the Inter-university Consortium for Political and Social Research (ICPSR). She is also a research/faculty affiliate of the Michigan Center on the Demography of Aging, the Population Studies Center, the Michigan Institute for Data Science, and the Center for Global Health Equity at the University of Michigan. At ICPSR, Pienta directs several federally funded data infrastructure projects that provide broad dissemination of confidential and/or restricted-use data using various modes of secure access. She chairs the research advisory board for the Qualitative Data Repository at Syracuse University and co-chaired the social sciences subsection of the COVID-19 Working Group within the Research Data Alliance, which includes establishing disclosure review practices for COVID-19 data. Pienta earned her PhD in sociology from the State University of New York Buffalo and completed a National Institute on Aging postdoctoral fellowship in the Population Research Institute at The Pennsylvania State University.

NATALIE SHLOMO is professor of social statistics at the University of Manchester. She is currently the president of the International Association of Survey Statisticians 2023–2025. She also serves on editorial boards and is a member of scientific methodology advisory committees for national statistics institutes, currently for the United Kingdom, Italy, and Canada. She is a fellow of the Academy of Social Sciences in the United Kingdom, an elected member of the International Statistical Institute, and a fellow of the Royal Statistical Society. Before that, Shlomo was senior lecturer in the School of Social Sciences at the University of Southampton and senior methodologist at the Israel Central Bureau of Statistics. She publishes widely in the area of survey statistics, including small area estimation, adaptive survey designs, non-probability sampling, confidentiality and privacy, and data linkage and integration. Shlomo has a BS in mathematics and statistics and an MA and PhD in statistics from the Hebrew University in Israel.

ALEKSANDRA (SEŠA) SLAVKOVIĆ is a professor of statistics and public health sciences, and associate dean for graduate education in Eberly College of Science at Penn State. She is associate editor of the Annals of Applied Statistics and Journal of Privacy and Confidentiality, and editor for Statistics and Public Policy. Slavković is a fellow of the American Statistical Association (ASA), Institute of Mathematical Statistics, and the International Statistical Institute. Her research focuses on methodological developments in the area of data privacy and confidentiality in the context of small- and large-scale surveys as well

as health, genomic, and network data, including differential privacy and broad data access that offers guarantees of accurate statistical inference needed to support reliable science and policy. She served as a chair of the ASA’s Privacy and Confidentiality committee and ASA’s Social Statistics Section. Slavković served on the National Academies of Sciences, Engineering, and Medicine’s Committee on National Statistics Panel on Measuring and Collecting Pay Information from U.S. Employers by Gender, Race, and National Origin, and the Transportation Research Board. She held visiting scholar positions at Cornell University, University of California, Berkeley, University of Minnesota, and Utrecht University. Slavković received her BA in psychology from Duquesne University, her MS and PhD in statistics from Carnegie Mellon University, and an MS in human-computer interaction from Carnegie Mellon University.

HEEJU SOHN (she/they) is currently an assistant professor of sociology at Emory University. Her research examines how unequal social safety nets and kin structures exacerbate health and social inequities in the United States. An ongoing project quantified key outcomes among undocumented immigrants living in the United States by leveraging data from the Survey of Income and Program Participation, Los Angeles Family and Neighborhood Survey, and the Survey of Migration at the North Border of Mexico (Encuesta sobre Migración en la Frontera Norte de México). Sohn has also worked as an expert consultant to the United Nations on estimating mortality patterns in data-sparse contexts such as armed conflicts and severe disasters. She received her MEng in information engineering from Cornell University and PhD in demography and sociology from University of Pennsylvania. Sohn completed her National Institutes of Health-funded postdoctoral training at the University of California, Los Angeles’s Health Policy and Management and California Center for Population Research.

SALIL VADHAN (he/they) is the Vicky Joseph Professor of computer science and applied mathematics in the Harvard School of Engineering and Applied Sciences. For the past decade, he has led the Harvard Privacy Tools Project, a broad effort to advance a multidisciplinary understanding of data privacy issues and build computational, statistical, legal, and policy tools to help address these issues in a variety of contexts. Vadhan is a Simons Investigator and an Association for Computing Machinery Fellow. He has received many awards including a Godel Prize, a Guggenheim Fellowship, and a Bowden Award for Outstanding Research in Privacy-Enhancing Technologies. Vadhan serves without compensation on two advisory boards: the Validation Server Advisory Board at the Urban Institute and the Abdul Latif Jameel Poverty Action Lab Innovations in Data and Experiments for Action Initiative. He co-founded and co-directs OpenDP, a community effort to build trustworthy,

open-source software tools for statistical analysis of sensitive private data with the strong protections of differential privacy. He received his PhD in applied mathematics from the Massachusetts Institute of Technology.

JENNIFER VAN HOOK (she/her) is Roy C. Buck Professor of Sociology and Demography at The Pennsylvania State University, and non-resident fellow at the Migration Policy Institute. Her research focuses on the demographics of immigrant populations, estimates of the size and composition of the unauthorized foreign-born population, and the socioeconomic integration of immigrants and their children, including several articles that relied on data collected by the Survey of Income and Program Participation. Van Hook received the Clifford C. Clogg Award for Mid-Career Achievement and was elected to the Sociological Research Association. She has served as the vice president of the Population Association of America. Van Hook served on the National Research Council’s panel on reengineering the SIPP. She received her PhD in sociology from the University of Texas at Austin.