Chris analyzes biological data and builds new methods at Foresite Capital.
Chris is an experienced data scientist with strength in machine learning and statistical experimental design, and more than 10 years of experience turning complex datasets into actionable knowledge. Prior to joining Foresite Capital, Chris served as a postdoctoral scientist in machine learning at Bayer, working with the data science and bioprocess optimization teams.
Chris holds a B.S. in Biological Science from the University of Vermont, and a Ph.D. in Ecology and Evolutionary Biology from Brown University in 2017 for his research on evolution under antagonistic pleiotropy and detection of driver mutations from microbial population genomics data. His graduate research was funded as an NSF Graduate Research Fellow and awarded an NSF dissertation grant.