about

Currently

I’m an applied statistician and data scientist working in infectious diseases at Atrium Wake Forest Baptist Health in Winston-Salem, NC.

My interests are in:

• Bayesian Inference

• Infectious Disease Modelling and Epidemiology

• Causal Inference

• Survey Analysis

• Applied Machine Learning and Prediction

• Simulation and Optimization

Additionally, I am an advocate for improving mobility. In my spare time I volunteer as a member of the Winston-Salem Transportation Coalition where we advocate for better public transit. I employ data science techniques in order to quantify and shed light on the issues.

You can read more about my work here. Additionally, I maintain a site regarding local politics and economic analysis. You can read that here.

Before

I came into statistics and data science from chemical engineering (which is what I studied at University). I also minored in philosophy and wrote my honors thesis in the English department.

After graduation I worked in industrial engineering at Michelin North America in plant industrial engineering and continuous improvement and at the central level in industrial engineering, project management and decision support and analysis.

It you want to learn more, check out my resume here.

Short Bio

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. 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.