Daniel S Mork

Related Links

Biography

My name is Daniel Mork and I develop statistical machine learning tools for precision environmental health. My work has been applied to understand individual risk factors and identify harmful chemicals for how repeated exposures impact perinatal health, and to study the long-term effects of air pollution in risks for neurological disease including Alzheimer's and Parkinson's diseases. Additionally, I specialize in methods for causal inference to quantify the effects of exposures within large-scale observational datasets, including Medicare. My work is backed up by comprehensive statistical and data science tools for reproducible research.

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

• Extreme Heat and Hospitalization Among Older Persons With Alzheimer Disease and Related Dementias.

  Delaney SW, Stegmuller A, Mork D, Mock L, Bell ML, Gill TM, Braun D, Zanobetti A. JAMA Intern Med 2025 Apr 01

  PMID: 39899291

• Comparing traditional and causal inference methodologies for evaluating impacts of long-term air pollution exposure on hospitalization with Alzheimer disease and related dementias.

  Qin MM, Khoshnevis N, Dominici F, Braun D, Zanobetti A, Mork D. Am J Epidemiol 2025 Jan 08

  PMID: 38907309

• The effect of air pollution on hospitalizations with Parkinson's disease among medicare beneficiaries nationwide.

  Wang VA, Delaney S, Flynn LE, Racette BA, Miller GW, Braun D, Zanobetti A, Mork D. NPJ Parkinsons Dis 2024 Oct 24

  PMID: 39448632

• Policy-induced air pollution health disparities: Statistical and data science considerations.

  Mork D, Delaney S, Dominici F. Science 2024 07 26

  PMID: 39052789

• Heterogeneous Distributed Lag Models to Estimate Personalized Effects of Maternal Exposures to Air Pollution.

  Mork D, Kioumourtzoglou MA, Weisskopf M, Coull BA, Wilson A. J Am Stat Assoc 2025

  PMID: 38835505