Michael DeWitt

Biostatistics
Bayes
Data Science
Epidemiology
Public Health

Michael DeWitt is an applied statistician and data scientist working in infectious disease research at Atrium Wake Forest Baptist Health, one of the largest health care networks in North Carolina as part of the Wake Forest University School of Medicine. Prior to infectious disease research, Michael has over ten years of experience in manufacturing, higher education analytics, and health care analytics. His specialties are Bayesian inference, hierarchical modeling, survey design and analysis, simulation and optimization, network analysis, and applied predictive modeling. He holds a bachelor’s degree in Chemical Engineering from Clemson University and a Master’s Degree in Statistics from North Carolina State University.

Education

North Carolina State University | Raleigh, NC Masters in Statistics

Clemson University | Clemson, SC B.S. in Chemical Engineering

Experience

Wake Forest School of Medicine Section on Infectious Diseases | Data Scientist

Cone Health | Senior Data Scientist

Wake Forest University | Data Scientist

Michelin North America | Central Industrial Engineer and Project Manager

Michelin North America | Area Industrial Engineer

Publications