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Daniel S Mork
Research Scientists

Daniel S Mork

Research Scientist

Biostatistics, Harvard T.H. Chan School of Public Health

Departments

Department of Biostatistics

Biography

I am a research scientist in the Department of Biostatistics at Harvard T.H. Chan School of Public Health working with National Studies on Air Pollution and Health. My statistical interests include structured machine learning, effect heterogeneity, functional regression, causal inference, Bayesian methodology and computation, and analysis of large, complex data. My work has been motivated and applied to a range of scientific questions in environmental and public health. Simultaneously, I create user-friendly software for efficient application and reproducibility in epidemiological studies. In addition, I enjoy consulting and collaborating in new areas of research and scientific exploration.

Education and Training

  • BA, Mathematics, Psychology, Norwegian
    St. Olaf College
  • MA, Mathematics Education, Engineering
    University of St. Thomas
  • PhD, Statistics
    Colorado State University
  • Postdoc, Biostatistics
    Harvard T.H. Chan School of Public Health
  • MS, Statistics
    Colorado State University

Awards and Honors

  • Editor's Choice Collection, 2023
    American Statistical Association
  • Jane Warren Award, 2021
    Health Effects Institute
  • VP for Research Fellowship - Nominee, 2021
    Colorado State University
  • College of Natural Sciences Outstanding Scholar, 2020
    Colorado State University
  • James R. ZumBrunnen Statistical Collaboration Award, 2020
    Colorado State University
  • Boes Excellence in Teaching, 2019
    Colorado State University

Publications