Driving the frontiers in this new field bridging computer science, statistics, engineering, medicine, and public health.
PhD programCPH’s pedagogical approach centers around Problem-Based Learning with early and deep exposure to the clinical and public health contexts in which CPH advances will be deployed. Students in the PhD in Computational Precision Health matriculate with a wide range of backgrounds spanning the computational and engineering sciences, mathematics and statistics, and biological and health sciences. The program is personalized to each student to leverage their backgrounds, and to allow them specialization in their selected research area. Coursework is complemented by extensive interaction with world-class faculty at the intersection of computation and health, to embed students in the rich scientific networks of UCSF and UC Berkeley. Training in ethics and equity is integrated throughout the curriculum.
The Designated Emphasis (DE) extends CPH’s educational opportunities to doctoral students in existing PhD programs at UC Berkeley (e.g., Computer Science, Statistics, Epidemiology, Health Policy, Computational Biology, Bioengineering) and UCSF (Bioengineering, Biomedical Informatics and Epidemiology). DE students take CPH courses, participate in the CPH Doctoral Seminar, and have a CPH faculty member on their Qualifying Exam and Dissertation Committees.