Schrödinger Team
Karl joined Schrödinger in 2013. He is responsible for machine learning research and development across the company. Karl received his Bachelor’s degree in Computer Science from the University of Virginia, and his Master’s degree specializing in Machine Learning from Georgia Tech. Recently he has been concentrating on molecular generative design, combining computational chemistry and chemoinformatics approaches to molecular property prediction, and general purpose machine learned energy potentials.