Yi-han Sheu, MD, MPH, ScD, is a postdoctoral research fellow working with Dr. Smoller. He received his MD degree at National Taiwan University, and completed residency and fellowship training in psychiatry at National Taiwan University Hospital. He then went on to complete degrees of MPH in Healthcare Management and Policy, and ScD in Epidemiology, both at Harvard University. His doctoral thesis involves using electronic health records data to improve treatment decision in psychiatric disorders by combining machine learning, artificial intelligence, and epidemiological approaches. He is currently interested in increasing medical care precision by further extending the application of the methodologies above, and to achieve so, improving its prerequisites in general artificial intelligence, such as model interpretation and robustness, incorporation of causal inferential methods, effective transfer learning, and building multi-modal knowledge representations.