2025 COPSS Award Winners
Presidents' Award
Lester Mackey, Microsoft Research
For deep and beautiful theory transforming high-dimensional statistics and machine learning, including path-breaking work on Stein operators and discrepancy, ranking algorithms, recommender systems, cross-validation, and concentration bounds for random matrices, with applications to weather, climate and healthcare; and for service to the profession including leadership and tremendously caring mentorship.
George W. Snedecor Award
Hongtu Zhu, UNC Gillings School of Public Health
For pioneering contributions to statistical theory and methodology in imaging genomics, medical imaging analysis, big data integration, and reinforcement learning; for developing innovative approaches in high-dimensional inference, causal inference, and machine learning; and for exemplary mentorship of students, postdoctoral researchers, and service to the statistical and AI communities.
Florence N. Davis Award and Lectureship
Kathy B. Ensor Rice University
For extraordinary leadership and contributions to the statistics profession; outstanding mentorship to the next generation of statisticians and data scientists; and for excellence in collaborative team science research.
COPSS Distinguished Achievement Award and Lectureship
James M. Robins Harvard University
For helping create the modern field of causal inference; for developing ground-breaking methods for causal inference; for the analysis of missing data; f r semi-and non-parametric models, and for the wide adoption of these methods in public health, clinical medicine, and the social sciences.
2024 COPSS Award Winners
Presidents' Award
Veronika Rockova, University of Chicago
For path-breaking contributions to theory and methodology at the intersection of Bayesian and frequentist Statistics in the areas of variable selection, factor models, non-parametric Bayes, tree-based and deep-learning methods, high-dimensional inference, generative methods for Bayesian computation; for exemplary service to Statistics and for generous mentorship of students and post-doctoral researchers.
E. L. Scott Award
Regina Y. Liu, Rutgers University
For her dedicated leadership and commitment to the statistical profession towards fostering opportunities, developing careers and creating supportive work environment for underrepresented groups and new researchers; and for her outstanding research contributions to statistics, particularly in data depth and nonparametric statistics.
COPSS Distinguished Achievement Award and Lectureship
Robert Tibshirani, Stanford University
For fundamental contributions to statistics and machine learning that have deepened, broadened and created a bridge between those fields; for bringing key statistical ideas in multiple testing and high-dimensional learning to the broader scientific community; for high-impact textbooks on generalized additive models, the bootstrap, high dimensional statistics, and statistical learning that have come to define those fields; and for outstanding mentoring of PhD students and junior researchers.
2023 COPSS Award Winners
Presidents' Award
Ryan Tibshirani, University of California, Berkeley
For deep contributions to theoretical statistics including nonparametric estimation, high dimensional inference, spline theory and distribution-free inference; For the development of new methodology including trend filtering and post-selection inference; For contributions at the interface of statistics and optimization; and for the development of methods for epidemic tracking and forecasting and co-leading the Delphi Research Group during the COVID pandemic.
F. N. David Award
Karen Bandeen-Roche, Johns Hopkins Bloomberg School of Public Health
For outstanding leadership and service in the statistics and biostatistics community, for her leadership in statistical education, and for her achievements in biostatistical research, particularly in the field of aging research and frailty.
George W. Snedecor
Michael Kosorok, UNC Gillings School of Global Public Health
For foundational, creative, and original contributions to mathematical statistics; for methodological developments in empirical processes and machine learning; for advancement of precision health; and for mentoring of students, postdocs, and junior faculty.
COPSS Distinguished Achievement Award and Lectureship
Bin Yu, University of California, Berkeley
For fundamental contributions to information theory; statistical and machine learning methodology; interdisciplinary research in fields such as genomics, neuroscience, remote sensing, and document summarization; and for outstanding dedication to professional service, leadership, and mentoring of students and young scholars.