Sylvia Cheng


Sylvia is a PhD student in Epidemiology at UC Berkeley, advised by Barbara Laraia and Alejandro Schuler. Her research interest lies in the intersection of precision health, causal inference and machine learning with robust uncertainty quantifications. Her work focuses on addressing and solving real-world challenges, such as evaluating causal effects of determinants of cellular aging as well as metabolic diseases. Sylvia also serves as a Data Scientist in the Division of Research at Kaiser Permanente.