I’m Michael DeWitt. I’m a data scientist and applied statistician working in infectious disease research. Additionally, I have experience in manufacturing, higher education, and health care. My research interests involve the detection, surveillance, and dynamics of new and emerging infectious diseases using mathematical and statistical models to improve public health. More specifically, I am particularly interested in the geospatial components of infectious diseases including the role of climate change, mobility patterns, evolution of contact patterns, and pathogen evolution; better understanding of delay distributions and infection ascertainment; and the role of modelling to rapidly inform public health measures.
In addition to my professional work, I apply the tools of the trade on local community projects and subjects of interest. This includes analysis of local economic policy, transportation availability, policing, and politics. I’m passionate about data informed policy and decision-making and scientific communication in general.