Adam Yala, PhD is an assistant professor of Computational Precision Health and Electrical Engineering and Computer Sciences at UC Berkeley and UCSF. His research focuses on developing machine learning methods for precision health and translating them to clinical care. His previous research has contributed to three areas: 1) predicting future cancer risk, 2) designing personalized screening policies, and 3) learning encoding schemes for private data sharing. Dr. Yala’s tools have been deployed at multiple health systems around the world and his research has been featured in the Washington Post, New York Times, Boston Globe, and Wired. He obtained his PhD in Computer Science from MIT, and subsequently became a member of MIT’s Jameel Clinic and Computer Science & Artificial Intelligence Laboratory.