Research includes developing machine learning and other statistical methods for AI and large-scale data analysis, understanding and predicting protein structures, computationally screening and designing new drugs and chemical interactions, modeling and understanding metabolic, signaling, and regulatory networks (systems biology), building a computer GO player, understanding genome evolution, analyzing and designing communication networks (Internet, Ultra Wide Band Radio).

Key Research Areas:

Deep Learning, Neural Networks, Reinforcement Learning, and their Theoretical Foundations and Applications