Chris is the co-founder of Atomic Data Sciences and brings a range of industry and academic experience to the company. Chris is deeply interested in accelerating nanomaterials development by building software that exposes cutting-edge materials data analysis and simulation workflows to domain experts. He holds a PhD and MS in Materials Science and Engineering from the University of Pennsylvania and a BA in Chemistry from Dartmouth College. Previously, Chris has also worked on developing enterprise-grade analytics products in energy commodities markets.
Nathan is the co-founder of Atomic Data Sciences. Nathan is a highly accomplished researcher at the intersection of nanomaterials, molecule design, and machine learning. Nathan is passionate about developing and applying machine learning models to solve problems in the physical sciences. Nathan holds a PhD in Materials Science and Engineering from the University of Pennsylvania, an MS in Physics from Boston University, and a BS in Physics from the University of Missouri. In addition to his role at Atomic, Nathan is an ML Research Scientist at Prescient Design. Previously, he completed a postdoctoral fellowship at MIT Lincoln Lab and was an Berkeley National Lab affiliate scientist working with the Materials Project.