Bob Zou

Bob is a Ph.D. candidate from the Institute of Computational and Mathematical Engineering (ICME). Prior to Stanford, he received his B.A. in mathematics and computer science from New York University. His research focuses on scientific machine learning, causal inference as well as their intersections and applications in healthcare. At a high level, his goals are to better understand complex physiological processes, especially those related to diabetes, with the help of data and modern machine learning methods and to build causally valid and robust AI systems that can be used in practice to facilitate diagnosis and treatment recommendation.