Michael is an MD-PhD candidate at the University of Pennsylvania. He received his B.S. in Applied Physics from Caltech and previously worked as a research scientist intern at Microsoft and Hyperfine. Michael's research focuses on developing interpretable and generalizable deep learning algorithms for medical imaging. He is also interested in the biotech startup space and medical education. Outside of class, Michael enjoys swimming, playing chess, and lounging around with his two cats.
