The Committee of Presidents of Statistical Societies, known as COPSS, celebrated the following individuals during the 2025 Joint Statistical Meetings in Nashville, Tennessee:
Distinguished Achievement Award and Lectureship
James 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; for semi- and nonparametric models; and for the wide adoption of these methods in public health, clinical medicine, and the social sciences.
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 health care and for service to the profession, including leadership and tremendously caring mentorship.
George W. Snedecor Award
Hongtu Zhu, The University of North Carolina
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 and postdoctoral researchers; and for service to the statistical and AI communities.
F.N. David Award
Kathy Ensor, Rice University
For extraordinary leadership and contributions to the statistic profession; for outstanding mentorship of the next generation of statisticians and data scientists; and for excellence in collaborative team science research.
Emerging Leader Award
Irina Gaynanova, University of Michigan
For significant contributions to statistical methods for integrative analysis of biomedical data, advancing continuous glucose monitoring data analysis with open-source software, commitment to statistical education, mentoring, and leadership in editorial and professional roles.
Emerging Leader Award
Nadja Klein, Karlsruhe Institute of Technology
For contributions to statistical sciences, spanning Bayesian deep learning, computational methods, and spatial statistics and for her commitment to impactful research, mentorship, professional service, and ensuring methods and software are accessible to researchers and practitioners.
Emerging Leader Award
Lucas Janson, Harvard University
For contributions to statistical methodology, particularly methods that leverage machine learning for statistical inference on data that is high-dimensional or adaptively collected, and for commitment to teaching, mentorship, and outreach.
Emerging Leader Award
Eric J. Daza, Stats-of-1
For building the urgently needed new field of “esametry,” idiographic statistics that expand n-of-1 and single-case methods for precision digital health; for leadership and service in making statistics and data science more inclusive; and for improving statistical scientific communication.
Emerging Leader Award
Yize Zhao, Yale University
For fundamental contributions to statistical and machine learning methods and applications for medical imaging, neuroscience, psychiatry, and mental health; for exceptional contributions to Bayesian statistical inference and computation for structural and graphical data; and for outstanding mentorship, professional services, and leadership.
Emerging Leader Award
Ana M. Ortega-Villa, National Institute of Allergy and Infectious Diseases
For impactful and dynamic leadership, including the training, mentoring, and uplifting of junior colleagues; for effective communication with nonstatistical collaborators promoting statistical rigor; and for energetic and innovative service to the profession.
Emerging Leader Award
Lucy D’Agostino McGowan, Wake Forest University
For advancing causal inference and missing data methods; for innovative teaching both inside and outside of the classroom and through the Casual Inference podcast; and for dedicated service to students, mentees, and the profession.
Emerging Leader Award
Bei Jiang, University of Alberta
For pioneering contributions to statistical methodologies in trustworthy machine learning, strengthening the integration between statistics and machine learning with novel methodologies in neuroimaging data analysis, data privacy, and algorithmic fairness, and for exemplary mentorship and dedicated service to the statistical community.
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