Daniel S Mork
Research Scientist
Biostatistics, Harvard T.H. Chan School of Public Health
Departments
Department of Biostatistics
Related Links
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
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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
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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