Students in the PhD in Computational Precision Health will develop foundational competency in the computational and mathematical sciences (e.g., machine learning, AI, causal and statistical inference, and algorithmic bias and fairness), drawing from motivating examples from the health domain. Students will be introduced to the health sciences (clinical decision sciences and cognitive informatics, clinical delivery, clinical research, implementation science, health information policy, etc.) through program activities to provide the context for computational problems in the field of CPH.

Students will develop the ability to work in interdisciplinary teams from ideation to development, testing, and validation in the real world. Coursework is complemented by extensive and early interaction with world-class faculty–through research rotations, seminar series, and practicums–at the intersection of computation and health, and students will develop proficiency in cross-disciplinary research and communication. A focus on diversity, equity and inclusion, human-centered design accommodating diverse users, and the ethical implications and societal impacts of the work is embedded throughout the program.

Students interested in applying to the PhD program may contact Bianca Victorica biancav@berkeley.edu for information. Students are also encouraged to reach out to AGG faculty to discuss their interests. See details on Admissions page