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2023 COPSS Awards: Leadership Academy Welcomes 8 More

1 May 2023 963 views No Comment
Maya Sternberg, COPSS Secretary/Treasurer
    The Committee of Presidents of Statistical Societies presents awards annually to honor statisticians who have made outstanding contributions to the profession. This year, the following Leadership Academy winners were selected in addition to winners of the Distinguished Achievement Award and Lectureship, F. N. David Award, and George Snedecor Award. All awards will be presented at the Joint Statistical Meetings.

      Peng Ding


      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


      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


      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


      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


      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


      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


      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


      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.

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