SCI Board

PAST PRESIDENT

Fabrizia Mealli

Professor of Statistics Econometrics, European University Institute

BIO
Fabrizia Mealli
Fabrizia Mealli is on leave as Professor of Statistics from the University of Florence. Since 2023, she is Professor of Statistics and Econometrics at the EUI’s Department of Economics.
She held visiting positions at the Harvard Statistics and Biostatistics Departments in 2001, 2015, and 2017.
Her research focuses on statistical methods for causal inference in experimental and observational settings, estimation techniques, simulation methods, missing data, and Bayesian inference, with applications to the social and biomedical sciences.

She is an Elected Fellow of the American Statistical Association; she is currently an Associate Editor for Biometrika, the Journal of the American Statistical Association T&M, The Annals of Applied Statistics, and Observational Studies. Since 2001, Mealli has been teaching Causal Inference in International Schools and in Master and PhD programmes around the world.

PRESIDENT

Nandita Mitra

Professor of Biostatistics,
University of Pennsylvania

BIO
Nandita Mitra is Professor of Biostatistics at the University of Pennsylvania. She is also the co-director of the Penn Center for Causal Inference and past Vice Chair of Education, Vice Chair of Faculty Professional Development, and Chair of the Graduate Group in Epidemiology and Biostatistics at Penn. She received her BA in Mathematics from Brown University, MA in Biostatistics from the University of California, Berkeley, PhD in Biostatistics from Columbia University, and completed a postdoctoral fellowship at Harvard.

Her primary research area is causal inference with a focus on developing propensity score, instrumental variable, and sensitivity analysis methods for observational data with applications in cancer, health policy, and health economics. She is the Editor-in-Chief of Observational Studies and is a Fellow of the American Statistical Association

She has held several relevant leadership roles on national and international committees including SCI Secretary, SCI Co-Chair of Outreach, ENAR Spring Meeting Program Chair, IBS Budget & Finance Chair, and ASA Statistics in Epidemiology Chair.

SECRETARY

Youjin Lee

Assistant Professor of Bio Statistics, Brown University

TREASURER

Razieh Nabi

Rollins Assistant Professor of Biostatistics, Rollins School of Public Health, Emory University

STUDENT REPRESENTATIVE

William Beckerman

PhD student, Statistics
Wharton School of the University of Pennsylvania

MEMBER AT LARGE

Samrachana Adhikari

Associate Professor, Department of Population Health, NYU Langone

MEMBER AT LARGE

Caleb Miles

Assistant Professor of Biostatistics,
Columbia University Mailman School of Public Health

BIO
Caleb Miles is an assistant professor of biostatistics at the Columbia University Mailman School of Public Health. He received his PhD in biostatistics from Harvard in 2015, then did a postdoctoral fellowship at UC Berkeley before joining Columbia. He works on developing semiparametric methods for causal inference and applying them to problems in public health. His applied work is largely in HIV/AIDS, drug abuse, psychiatry, and anesthesiology. His methodological research interests include causal inference, its intersection with machine learning, mediation analysis, data fusion, and measurement error. Since arriving at Columbia, he has continuously served as a co-investigator on NIH funded grants, and is currently principal investigator of an R01 to develop methodology for efficiently combining data across multiple studies to study causal effects of medication for opioid use disorder. He is an associate editor for the Journal of the Royal Statistical Society: Series C and the International Journal of Biostatistics.

MEMBER AT LARGE

Andrew Spieker

Associate Professor of Biostatistics,
Vanderbilt University Medical Center

BIO
Andrew Spieker is an Associate Professor of Biostatistics at Vanderbilt University Medical Center. He received his B.S. in Mathematics from Northeastern University, his Ph.D. in Biostatistics from University of Washington, and completed a postdoctoral fellowship at the University of Pennsylvania. His methodological research focus is on causal inference methods, with special emphasis on sensitivity analysis, instrumental variable approaches, and longitudinal treatment regimes. He has received recognition for his methodological research in causal inference, having been awarded the WNAR Student Paper Awards for Most Outstanding Presentation and Most Outstanding Contributed Paper in 2015; he was also a runner-up for the Ten Have Poster Presentation award for ACIC in 2017. He is dedicated to service to the causal inference and broader statistical community; he has served in a number of leadership roles in professional organizations (including as ENAR Chair of Local Arrangements, as Biometrics Program Chair for ASA). He is currently a member of the SCI Professional Development Committee, and an Associate Editor for Observational Studies and the Book Review Editor for Biometrics.

SCI Steering Committee

Stephen Cole

Professor
University of North Carolina, Chapel Hill
Department of Epidemiology

BIO
Stephen R. Cole works to build accurate and impactful knowledge, particularly population-health (epidemiologic) knowledge.
Professor Cole is interested in study designs and analyses that accurately estimate parameters of central interest to population-health scientists, such as risk. These study designs include randomized experiments, pseudoexperiments (i.e., observational studies) and thought-experiments (e.g., simulation studies). Substantively, Dr. Cole is interested in infectious diseases, primarily HIV, and cancer.

Jennifer Hill

Professor of Applied Statistics Director, PRIISM Center Co-Director, A3SR MS Program New York University

BIO
Jennifer Hill develops and evaluates methods that help answer causal questions vital to policy research and scientific development. Her ast work focused on situations in which it is difficult or impossible to perform traditional randomized experiments, or when even seemingly pristine study designs are complicated by grouped structures or missing data. Most recent work focuses on Bayesian nonparametric methods that allow for flexible estimation of causal models and are less time-consuming and more precise than competing methods (e.g. propensity score approaches). These approaches intersect with other causal inference topics such as common support violations, sensitivity analysis, and estimation of heterogeneous effects. Hill has published in a variety of leading journals including Journal of the American Statistical Association, Statistical Science, American Political Science Review, American Journal of Public Health, and Developmental Psychology. She earned her PhD in Statistics at Harvard University in 2000 and completed a post-doctoral fellowship in Child and Family Policy at Columbia University’s School of Social Work in 2002. Hill is current the Director of the Center for Practice and Research at the Intersection of Information, Society, and Methodology (PRIISM) and Co-Director of and the Master’s of Science Program in Applied Statistics for Social Science Research (A3SR).

Luke Keele

Associate Professor
University of Pennsylvania
Surgery and Biostatistics

BIO
Luke Keele (Ph.D., University of North Carolina, Chapel Hill, 2003) is currently an Associate Professor at the University of Pennsylvania with joint appointments in Surgery and Biostatistics. Professor Keele specializes in research on applied statistics with a focus on causal inference, design-based methods, matching, natural experiments and instrumental variables. He also conducts research on topics in educational program evaluation, election administration, and health services research. He has published articles in the Journal of the American Statistical Association, Annals of Applied Statistics, Journal of the Royal Statistical Society, Series A, The American Statistician, American Political Science Review, Political Analysis, and Psychological Methods.

Ilya Shpitser

Assistant Professor of Computer Science
Johns Hopkins University

Dylan Small

Professor of Statistics, The Wharton School, University of Pennsylvania

BIO
Dylan Small, PhD is the Class of 1965 Wharton Professor in the Department of Statistics at the Wharton School at the University of Pennsylvania. Dr. Small received his PhD in Statistics from Stanford University and his AB in Mathematics from Harvard University. Dr. Small’s research interests include causal inference and applications of statistics to health and public policy. He was the founding Editor of the journal Observational Studies and continues to serve on the editorial board of Observational Studies as well as the Journal of Casual Inference and several other statistical journals.

Leadership

SCI Board

PAST PRESIDENT

Fabrizia Mealli

PRESIDENT

Nandita Mitra

SECRETARY

Youjin Lee

TREASURER

Razieh Nabi

STUDENT REPRESENTATIVE

William Beckerman

MEMBER AT LARGE

Samrachana Adhikari

MEMBER AT LARGE

Caleb Miles

MEMBER AT LARGE

Andrew Spieker

SCI Steering Committee

Stephen Cole

Jennifer Hill

Luke Keele

Ilya Shpitser

Dylan Small