2023 COPSS Awards: Leadership Academy Welcomes 8 More
Maya Sternberg, COPSS Secretary/Treasurer
Peng Ding
University of California, Berkeley
For outstanding contributions to the foundations and applications of causal inference and for both randomized experiments and observational studies, with emphasis on settings with high-dimensional covariates and complex structures.
Edgar Dobriban
University of Pennsylvania
For fundamental contributions to the development of random matrix theory-based statistical methods, theory for analyzing massive data sets, uncertainty quantification in machine learning, including parallel analysis for principal component analysis, distributed statistical learning, scalable inference via random projections; for innovative methods for COVID-19 pooled testing using hypergraph factorization; and for outstanding mentoring.
Jingyi Jessica Li
University of California, Los Angeles
For innovative and disruptive research at the junction of statistics and biology, especially in statistical genomics; for advocacy of the importance of statistical rigor in the biomedical science community; and for outreach efforts and commitment to improve the diversity in quantitative research.
Avi Feller
University of California, Berkeley
For ground-breaking research in causal inference and program evaluation; for bridging statistics, public policy, and education research; and for commitment to building a more inclusive field.
Gongjun Xu
University of Michigan
For making breakthroughs on challenging problems in the behavioral sciences; for significant theoretical and methodological contributions to latent variable models, high-dimensional inference, and survival analysis; and for outstanding editorial services and leadership.
Lorin Crawford
Microsoft Corporation & Brown University
For path-breaking research combining theory and methods of mathematics, statistics, and computing to generate new knowledge and insight about the genetic basis of disease and for exceptional mentoring of students from multiple scientific disciplines.
Yates Coley
Kaiser Permanente Washington Health Research Institute
For impactful statistical contributions in the areas of ethical clinical prediction model development and learning health systems science and for significant leadership and advocacy to advance justice, equity, diversity, and inclusion in the profession and practice of statistics.
Veronika Rockova
The University of Chicago
For ground-breaking contributions to theory and methodology at the intersection of Bayesian and frequentist statistics; for outstanding editorial service to the profession; and for excellence in the advising and supervision of doctoral students.
Leave your response!