Chris Sutton is a Senior Staff Scientist specializing in the development and application of computational methods to design, predict, and understand novel materials. With a focus on first-principles calculations and machine learning techniques, they work to advance the understanding of functional materials in various scientific and industrial contexts. Chris earned a Ph.D. in Physical Chemistry from Georgia Institute of Technology and holds a B.S. in Chemistry from the University of Central Arkansas.