Karl Leswing

Karl Leswing is the Vice President for Machine Learning at Schrödinger. In this role, he oversees the research and execution of machine learning applications for Schrödinger’s digital chemistry platform. In 2017, he was a visiting researcher at the Pande Lab, working on using deep learning techniques for drug discovery. During that time, he co-authored MoleculeNet, a benchmarking paper analyzing machine learning techniques for chemoinformatics. Karl received his undergraduate degree from the University of Virginia and a Master’s in machine learning from Georgia Tech.

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