Jennifer Bobb
Kaiser Permanente Washington Health Research Institute
For significant methodological and applied contributions to the field of environmental biostatistics; for impactful research at the interface of cutting-edge statistical methods and real-world evidence to improve outcomes of people with substance use disorders; and for outstanding service to the profession.
Abhirup Datta
Johns Hopkins University Bloomberg School of Public Health
For fundamental methodological and theoretical contributions to geospatial statistics and machine learning with applications to the environmental and public health; for leading development and the application of Bayesian methods for improving mortality estimates in low- and middle-income countries; for prolific open-access software development; for being a role model in advising and mentoring of students and junior colleagues; and for service to the profession.
Daniele Durante
Bocconi University
For cutting-edge scientific contributions to statistical modeling of graphs; for Bayesian theory and methods for categorical data; and for exemplary service, dedicated mentoring, and creative outreach initiatives for early career data scientists.
Bailey Fosdick
GTI Energy and University of Colorado School of Public Health
For impactful statistical contributions in statistical network analysis methods; critical leadership for data-driven decision-making during the COVID-19 pandemic; and for the commitment to and advocacy for a more just, equitable, diverse, and inclusive society.
Zheng Tracy Ke
Harvard University
For pioneering contributions in statistical text analysis, especially optimal spectral algorithms for topic modeling; for outstanding contributions in developing statistical methods for complex network data, including mixed membership estimation and graph-cycle-count inference; for fundamental contributions in sparse inference and rare/weak signals; and for great services to the community such as organizing conferences and workshops and serving on various committees.
Sandra Safo
University of Minnesota
For significant contributions to statistical and machine learning methods for integrative analysis; for dedication to education and mentoring; and for far-reaching services to the profession and society.
Shu Yang
North Carolina State University
For fundamental contributions to the development of trial design and analysis using real-world data and causal inference methods for complex clinical and observational studies; for outstanding advising and mentoring; and for a pivotal role in bridging the gap between academia and the pharmaceutical and regulatory sectors.
Anru Zhang
Duke University
For exceptional contributions to high-dimensional statistical inference, statistical learning theory, and particularly for groundbreaking work on statistical tensor learning; for significant contributions to medical informatics and nonconvex optimization; and for remarkable contributions to the statistical profession through mentorship of students and editorial services.
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