Contact: x.gao@nyu.edu

Bio: Xiang is a PhD student at the NYU Center for Data Science, working with Narges Razavian, Carlos Fernandez-Granda, and Rajesh Ranganath. He is broadly interested in machine learning (for healthcare) and specifically developing reliable learning algorithms for the responsible deployment of advanced models. Previously, he got his B.S. in data science at the University of Toronto, where he worked with Rahul G. Krishnan and Marzyeh Ghassemi at the Vector Institute.