Andrea Gloria Rotnitzky is an Argentine biostatistician whose research involves causal inference on the effects of medical interventions in the face of missing data. She is Prentice Endowed Professor of Biostatistics in the University of Washington School of Public Health. [1]
Rotnitzky earned a licenciate in mathematics in 1982 at the University of Buenos Aires. She went to the University of California, Berkeley for graduate study in statistics, earning a master's degree in 1986 and completing her Ph.D. in 1988. [2] Her dissertation, Analysis of Generalized Linear Models for Cluster Correlated Data, was supervised by Nicholas P. Jewell. [3]
After postdoctoral research in the Harvard T.H. Chan School of Public Health, Rotnitzky continued at Harvard as an assistant professor of biostatistics from 1989 to 1995, associate professor from 1995 to 2000, and senior lecturer from 2000 to 2005. Meanwhile, she joined the department of economics at Torcuato di Tella University in Buenos Aires as an associate professor from 2000 to 2005, and as a full professor from 2005 to 2022. [2]
In 2022 she became Prentice Endowed Professor of Biostatistics at the University of Washington School of Public Health. [1]
Rotnitzky was one of the five inaugural winners of the Rousseeuw Prize for Statistics, in 2022, given to her with James Robins, Thomas Richardson, Miguel Hernán, and Eric Tchetgen Tchetgen, "for their pioneering work on causal inference with applications in medicine and public health". [4] [5] In 2023 she was granted the Konex Award Merit Diploma for her work in Mathematics in the last decade. [6]
Luis Ángel Caffarelli is an Argentine–American mathematician. He studies partial differential equations and their applications.
James M. Robins is an epidemiologist and biostatistician best known for advancing methods for drawing causal inferences from complex observational studies and randomized trials, particularly those in which the treatment varies with time. He is the 2013 recipient of the Nathan Mantel Award for lifetime achievement in statistics and epidemiology, and a recipient of the 2022 Rousseeuw Prize in Statistics, jointly with Miguel Hernán, Eric Tchetgen-Tchetgen, Andrea Rotnitzky and Thomas Richardson.
Marta Minujín is an Argentine conceptual and performance artist.
Peter J. Rousseeuw is a statistician known for his work on robust statistics and cluster analysis. He obtained his PhD in 1981 at the Vrije Universiteit Brussel, following research carried out at the ETH in Zurich, which led to a book on influence functions. Later he was professor at the Delft University of Technology, The Netherlands, at the University of Fribourg, Switzerland, and at the University of Antwerp, Belgium. Next he was a senior researcher at Renaissance Technologies. He then returned to Belgium as professor at KU Leuven, until becoming emeritus in 2022. His former PhD students include Annick Leroy, Hendrik Lopuhaä, Geert Molenberghs, Christophe Croux, Mia Hubert, Stefan Van Aelst, Tim Verdonck and Jakob Raymaekers.
Alicia Dickenstein is an Argentine mathematician known for her work on algebraic geometry, particularly toric geometry, tropical geometry, and their applications to biological systems. She is a full professor at the University of Buenos Aires, a 2019 Fellow of the American Mathematical Society, a former vice-president of the International Mathematical Union (2015–2018), and a 2015 recipient of The World Academy of Sciences prize.
Mary Elizabeth (Betz) Halloran is an American biostatistician who works as a professor of biostatistics, professor of epidemiology, and adjunct professor of applied mathematics at the University of Washington.
Lurdes Yoshiko Tani Inoue is a Brazilian-born statistician of Japanese descent, who specializes in Bayesian inference. She works as a professor of biostatistics in the University of Washington School of Public Health.
Elizabeth A. Stuart is a professor of mental health, biostatistics, and health policy and management in the Johns Hopkins Bloomberg School of Public Health. Her research involves causal inference and missing data in the statistics of mental health. She was a co-author on a study showing that post-suicide-attempt counseling can significantly reduce the risk of future suicide.
Elsa Rosa Diana Kelly is an Argentine lawyer and diplomat. She is currently a judge on the International Tribunal for the Law of the Sea as an expert. She held various positions within Argentine diplomacy and served as the ambassador to Italy, Austria and UNESCO.
Miguel Hernán is a Spanish–American epidemiologist. He is the Director of the CAUSALab, Kolokotrones Professor of Biostatistics and Epidemiology at the Harvard T.H. Chan School of Public Health, and Member of the Faculty at the Harvard–MIT Program in Health Sciences and Technology.
Francesca Dominici is a Harvard Professor who develops methodology in causal inference and data science and led research projects that combine big data with health policy and climate change. She is a professor of biostatistics, co-director of the Harvard Data Science Initiative, and a former senior associate dean for research in the Harvard T.H. Chan School of Public Health.
Elizabeth Anne (Lianne) Sheppard is an American statistician. She specializes in biostatistics and environmental statistics, and in particular in the effects of air quality on health. She is a Professor of Environmental and Occupational Health Sciences and a Professor of Biostatistics in the University of Washington School of Public Health. In 2021, Dr. Sheppard was named to the Rohm & Haas Endowed Professorship of Public Health Sciences.
Babette Anne Brumback is an American biostatistician known for her work on causal inference. She is a professor of biostatistics at the University of Florida.
Erica Eleanor Margret Moodie is a Canadian biostatistician known for her work on dynamic treatment regimes. She is Canada Research Chair and Professor in the Department of Epidemiology, Biostatistics, and Occupational Health at McGill University.
Sherri Rose is an American biostatistician. She is an associate professor of health care policy at Stanford University, having formally worked at Harvard University. A fellow of the American Statistical Association, she has served as co-editor of Biostatistics since 2019 and Chair of the American Statistical Association’s Biometrics Section. Her research focuses on statistical machine learning for health care policy.
Rui Song is a Chinese-American statistician. Her research interests include machine learning, causal inference, and independence screening for variable selection, with applications to precision medicine and economics. She works for Amazon as a senior principal scientist.
Fan Li is a Chinese-American biostatistician whose research includes causal inference and propensity score matching, and their application to comparative effectiveness research in health care. She is a professor in the Duke University Department of Statistical Science, with a secondary appointment in Duke's Department of Biostatistics and Bioinformatics.
Emma Katherine Tara Benn is an American biostatistician whose research includes causal inference in health disparities as a way to help find targets for intervention against these disparities. She works at the Icahn School of Medicine at Mount Sinai, where she is an associate professor in the Department of Population Health Science, affiliated with the Center for Biostatistics. She is also associate dean of faculty well-being and development, and the founding director of the Center for Scientific Diversity at the Icahn School.
The Rousseeuw Prize for Statistics awards innovations in statistical research with impact on society. This biennial prize is awarded in even years, and consists of a medal, a certificate, and a monetary reward of US$1,000,000, similar to the Nobel Prize in other disciplines. The home institution of the Prize is the King Baudouin Foundation (KBF) in Belgium, which appoints the international jury and carries out the selection procedure. The award money comes from the Rousseeuw Foundation created by the statistician Peter Rousseeuw.
Layla Mosama Parast Bartroff is an American biostatistician whose research involves surrogate markers, predictive modelling, survival analysis, causal inference, and health care quality. Formerly a senior statistician and co-director of the Center for Causal Inference at the RAND Corporation, she is an associate professor of statistics and data sciences at the University of Texas at Austin. She is also a frequent newspaper and news magazine editorial writer on issues related to public health, supported as a Public Voices Fellow of The OpEd Project.