About

I’m an applied statistician and data scientist working in infectious diseases at Wake Forest University School of Medicine in Winston-Salem, NC.

My interests are in:

• Infectious disease modelling and epidemiology, particularly the detection, surveillance, and dynamics of new and emerging pathogens and how to better inform public health with actionable insights in a timely manor

• Bayesian inference and analytic techniques

• Application of survey analytic techniques (including small area estimation) applied to novel data sets

• Applied machine learning and prediction

• Simulation and optimization

• Causal inference

Short biography

Michael DeWitt is an applied statistician and data scientist working in infectious disease research at Wake Forest University School of Medicine, the academic core of the non-profit Advocate Health system, the fifth largest healthcare network in the United States. Prior to infectious disease research, Michael has over ten years of experience in manufacturing, higher education analytics, and health care analytics. His research interests involve the detection, surveillance, and dynamics of new and emerging infectious diseases using mathematical and statistical models to improve public health. He holds a bachelor’s degree in Chemical Engineering from Clemson University and a Master’s Degree in Statistics from North Carolina State University.