Michael E. DeWitt

Biostatistics
Bayes
Data Science
One Health
Epidemiology
Ecology
Public Health
Emerging Diseases
Zoonotic Diseases

Michael DeWitt is an applied statistician, infectious disease epidemiologist, and data scientist working in infectious disease research as a member of the Wake Forest University School of Medicine Section on Infectious Diseases. He leads the Infectious Disease Epidemiology and Applied Statistics (IDEAS) group. He is interested in using data science and mathematical models to understand how and why certain pathogens emerge and persist in new host population. He is also interested in designing surveillance and control strategies to mitigate the impact of infectious diseases on human and animal health through understanding these infectious disease dynamics. In addition to his research at Wake Forest University, he is a co-director of the International Field Epidemiology and Tropical Medicine course in Peru and the secretary of the North Carolina Infectious Diseases Society. He keeps an active website at michaeldewittjr.com where he shares his research and thoughts on infectious diseases and data science.

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.

Recent publications