Appendix B

Biographical Sketches of Workshop Event Presenters

Day 1: May 22, 2023

MAYANK VARIA (he/him/his) is an associate professor in the Faculty of Computing & Data Sciences school at Boston University. Varia also serves as the director of undergraduate studies and the director of the Civic Tech Hub. His research explores the computational and social aspects of cryptography, and his work has been featured in media outlets like CNET, The Hill, and ZDNet. His designs for accessible, equitable, and socially responsible data analysis have been used to determine the gender wage gap, subcontracting to minority-owned businesses, and repeat offenders of sexual assault inspired by the #MeToo movement. Varia has a Ph.D. in mathematics from Massachusetts Institute of Technology.

JULIA LANE (she/her/hers) is a professor at the New York University’s Wagner Graduate School of Public Service. Previously, she served on the National Artificial Intelligence Research Resources Task Force and also on the Advisory Committee on Data for Evidence Building. Lane has initiated and led a series of large-scale public data infrastructures. The first of these was the Longitudinal Employer-Household Dynamics Program at the Census Bureau. She helped initiate or cofounded the Statistics New Zealand Integrated Data Infrastructure, the U.S. Patent and Trademark Office’s PatentsView platform, the NORC at the University of Chicago’s Data Enclave, the Institute for Research on Innovation and Science, as well as the not-for-profit Coleridge Initiative. Lane also wrote a book, entitled Democratizing Our Data: A Manifesto, which was published in 2020.

CHRIS CULNANE (he/him/his) is the principal of Castellate Consulting, Ltd. based in the United Kingdom. Prior to founding Castellate Consulting, Ltd., he was a lecturer in cyber security and privacy at the University of Melbourne, where he remains an honorary fellow. Culnane has authored several academic papers in the areas of cyber security, verifiable electronic voting, privacy, and digital watermarking, and co-authored a report for the Office of the Australian Information Commissioner on online identifiers. He has a Ph.D. in computer science from the University of Surrey, later spending 6 years as a research fellow at the University of Surrey working on the Trustworthy Voting Systems project, which designed and built an end-to-end verifiable election system that was deployed as the electronically assisted voting system in the 2014 Victorian State election in Australia.

TIMOTHY TRIPLETT (he/him/his) is a senior survey methodologist and part of the Urban Institute’s Statistical Methods Group. At the Urban Institute, his work involves working on studies that include survey data collection, complex sample designs, and random experimental designs. Triplett conducts methodological research addressing such issues as estimating nonresponse bias, weighting, and imputation procedures. He has written and presented more than 25 survey methodology papers and was the 2020 chair of the American Association of Public Opinion Research Standard’s Committee. Triplett is also an author of a chapter on using surveys for the Handbook of Practical Program Evaluation, 4th ed. (2015).

LISA MIREL (she/her/hers) is the statistical advisor in the National Center for Science and Engineering Statistics (NCSES) at the National Science Foundation. The statistical advisor takes a leading role in the formulation, implementation, and oversight of the NCSES’s statistical, survey methodological, data quality, and data protection goals, objectives, and priorities. Prior to her appointment at NCSES, Mirel served as the chief of the Data Linkage Methodology and Analysis Branch at the National Center for Health Statistics (NCHS), Centers for Disease Control and Prevention. In that role, she directed the NCHS Data Linkage program, leading agency efforts to integrate NCHS data-collection systems with external sources of health-related administrative data. Mirel oversaw the development and implementation of state-of-the-art data linkage methodologies and data-quality assessments. She also led the program in exploring the creation of synthetic linked data and assessing privacy preserving record-linkage tools.

CHRISTOPHER MORTEN (he/him/his) is an associate clinical professor of law at Columbia Law School and the director of Columbia’s Science, Health, & Information Clinic. His clinical work, research, and writing focus on access to knowledge, with particular emphasis on science, technology,

and health justice. Morten is an intellectual property lawyer who practiced patent law for several years. His recent academic work focuses on responsible governance of sensitive data, including trade secrets. In addition to his J.D., Morten has a Ph.D. in organic chemistry.

Day 2: May 23, 2023

ANDREW M. PENNER (he/him/his) is professor of sociology and the founding director of the Center for Administrative Data Analysis at the University of California, Irvine. He has conducted research examining inequality in education and the labor market using unique linked data. Penner’s past work has been published in Science, the Proceedings of the National Academy of Sciences, and Nature Human Behaviour, and has been supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development, the National Science Foundation, and the Institute of Education Sciences. His work has been covered in outlets such as The New York Times, The Washington Post, The Wall Street Journal, and Danish tabloids. Penner received a Ph.D. in sociology from the University of California, Berkeley.

KELLY DAUBERMAN (she/her/hers) is a supervisory statistician at the Internal Revenue Service (IRS), Statistics of Income. She oversees the formulation and execution of statistical programs related to tax-exempt organizations, and estate and gift tax, as well as the annual publication of the IRS Data Book. Before assuming her supervisory role, Dauberman was a senior economist for the Statistics of Income with a focus on tax-exempt bonds. She received a B.S. in economics from the University of Maryland, College Park, and an M.S. in economics from the Johns Hopkins University.

PEGGY CARR (she/her/hers) is the commissioner of the National Center for Education Statistics (NCES). She previously served as the associate commissioner of assessment for NCES, where she oversaw the National Assessment of Educational Progress (NAEP) and a portfolio of large-scale international assessments. At NCES, Carr played a lead role in planning, directing, and managing NAEP and the international assessments through several major milestones, such as the transition from paper-and-pencil assessments to digitally based ones. Most recently, she led the development and implementation of the NAEP Monthly School Survey and the School Pulse Panel. Before joining NCES, Carr served as the chief statistician for the U.S. Department of Education’s Office for Civil Rights. She has previously been awarded the Meritorious Executive Rank Award for sustained superior accomplishments in management of programs by President George W. Bush. Carr has a Ph.D. in developmental psychology from Howard University.

LARRY CORDELL (he/him/his) is senior vice president of the Risk Assessment, Data Analysis, and Research Group at the Federal Reserve Bank of Philadelphia. He previously served as a special advisor in several Federal Reserve System initiatives during the financial crisis, including the examination team that evaluated the capital adequacy of Fannie Mae and Freddie Mac, the Supervisory Capital Assessment Program, and the 2010–2022 Dodd Frank Act Stress Tests. Cordell has also served as an adjunct professor in Penn State University’s Master of Finance Program. He has published widely in areas of fixed income research, real estate economics, and banking and finance. Cordell has a Ph.D. in economics from the University of North Carolina at Chapel Hill.

JOHN W. TOWNS (he/him/his) holds two appointments at the University of Illinois at Urbana-Champaign. He is the executive associate director for engagement at the National Center for Supercomputing Applications and deputy chief information officer for research information technology (http://researchit.illinois.edu) in the Office of the Chief Information Officer at University of Illinois at Urbana-Champaign. Towns has played a significant role in furthering the use of advanced research computing and data technologies for scientific research and education over the course of his career. He has held various leadership positions in national and international organizations and efforts, including being the founding chair of the Steering Committee of Practice and Experience in Advanced Research Computing (http://www.pearc.org).

Day 3: May 25, 2023

KEVIN M. SCOTT (he/him/his) is the principal deputy director of the Bureau of Justice Statistics (BJS). In this role, he oversees BJS’s statistical collections and is a member of BJS’s leadership team. Scott has served as deputy director of statistical operations at BJS, chief of the Law Enforcement Statistics Unit, and chief of the Judicial Statistics Unit, where he supervised data collections that covered federal, state, and local law enforcement agencies and training academies; forensic laboratories; and medical examiners and coroners’ offices. He was also responsible for the Federal Justice Statistics Program and BJS’s prosecution, indigent defense, and judicial statistics data collections. Before joining BJS, Scott served as an analyst for the Congressional Research Service, as an analyst for the Administrative Office of the U.S. Courts, and as director of the Policy Analysis Unit in the Department of Justice’s Office of Legal Policy. He has a Ph.D. in political science from The Ohio State University.

LAUREN BEATTY (she/her/hers) is a statistician with the Corrections Statistics Unit of the Bureau of Justice Statistics (BJS). Her work and statistical products have focused primarily on institutional and community corrections as well as special topics in corrections, such as incarcerated parents, firearm use and sources, and mental health. Beatty has managed a variety of BJS projects including more recently redesigning and fielding BJS’s national omnibus survey of prisoners, the Survey of Prison Inmates (SPI), and serving as the BJS lead on SPI data linkage activities and the results stemming from those efforts. She received her M.S. in survey methodology from the University of Maryland, College Park.

MICHAEL MUELLER-SMITH (he/him/his) is assistant professor in the Department of Economics at the University of Michigan and faculty associate in the Population Studies Center. His research focuses on measuring the scope and prevalence of the criminal justice system in the United States as well as its broadly defined impact on the population. Mueller-Smith’s research has been published in leading journals, including the Quarterly Journal of Economics, Review of Economic Studies, Review of Economics and Statistics, and Journal of Policy Analysis and Management. He is co-founder and director of the Criminal Justice Administrative Records System. Mueller-Smith has a Ph.D. in economics from Columbia University, and he completed a National Institute of Child Health and Human Development postdoctoral fellowship at Michigan’s Population Studies Center.

JULIE WATERS (she/her/hers) is senior technical advisor for data and analytics at the Federal Emergency Management Agency (FEMA), where she oversees FEMA’s efforts to modernize its enterprise data and analytics capabilities through investments in people, processes, and technology. She has served for more than a decade within the Department of Homeland Security in leadership roles advancing the use of data and analysis to inform decision making, including all-hazards risk analysis, biosurveillance, and emergency management. She received her Ph.D. in mechanical engiXneering from Brown University.

EDWARD J. KEARNS (he/him/his) is the chief data officer at the First Street Foundation, where he communicates environmental risks through data. Prior to this, he served as the interim chief data officer at the U.S. Department of Commerce, where he led governance of the department’s data assets, promoted effective data management, and led the implementation of the Federal Data Strategy and the Foundations for Evidence-Based Policymaking Act. Kearns has also led the climate data record program at the National Oceanic and Atmospheric Administration, where he oversaw its data archive; guided coastal ecosystem restoration projects for the National

Park Service; evaluated environmental “big data” to inform Everglades restoration; and vicariously calibrated ocean products from the National Aeronautics and Space Administration’s satellites and developed regional integrated ocean observing and data management systems as a professor at the University of Miami. He has a Ph.D. in physical oceanography from the University of Rhode Island.

KOBBI NISSIM (he/him/his) is professor of computer science in the Department of Computer Science at Georgetown University and an affiliate professor at Georgetown Law. Prior to joining Georgetown, he held a position in the Department of Computer Science at Ben-Gurion University, and before that, he worked at the Center for Research in Computation and Society at Harvard University. Nissim’s research interests include establishing rigorous practices for privacy in computation; identifying problems that result from the collection, sharing, and processing of information; formalizing these problems; and studying them toward creating solid practices and technological solutions. He introduced differential privacy with Dwork, McSherry, and Smith—a formal mathematical framework of privacy. For this contribution they received the Gödel Prize and the Paris Kanellakis award.

MICHAEL HAWES (he/him/his) is senior survey statistician for scientific communication at the Census Bureau. He is responsible for outreach and engagement with the Census Bureau’s data users on issues relating to the impact of privacy protection methodologies on the accessibility and usability of census data. Prior to joining the Census Bureau, Hawes served as director of student privacy at the U.S. Department of Education, the department’s senior policy official responsible for the administration and enforcement of federal laws governing the privacy and confidentiality of education records. He is a member of the Federal Committee on Statistical Methodology and chair of its Confidentiality and Data Access Committee. Hawes is a member of the American Statistical Association, a Certified Information Privacy Professional/Government by the International Association of Privacy Professionals, and a Certified Project Management Professional by the Project Management Institute. He has a B.A. in political science and history from Duke University, and an M.A. in international relations from the University of Chicago.