Dr. Peter Watson is a researcher that applies machine learning and data science to quantify the impacts of weather events. He’s particularly interested with working with high resolution weather simulations, applying ML to extract meaning, and connecting that understanding of weather to the impacts it can have on infrastructure. He’s worked at the University of Connecticut’s Eversource Energy Center, Los Alamos National Laboratory, and was CTO of Whether, a small start-up company.