My research is in machine learning and motivated by questions in computational biology and chemistry. From a machine learning standpoint, I have been focusing primarily on generative modeling, Bayesian deep learning, large-scale training and active learning. This has lead to the development of new methods for protein modeling, mutation effects prediction and de novo drug design.