UCSF UC Berkeley Joint PhD Program, Computational Precision Health

UCSF UC Berkeley Joint PhD Program, Computational Precision Health

Category : Alumni

Health and our healthcare systems are staggeringly complex. Advances in computation have transformed many industries, but the full promise of computation is yet to be realized for health care. To transform personal and public health through computation, we need breakthroughs in computation that use the massive data now available to do better : better disease detection, better treatment selection and monitoring, better decision support for medicine and public health, better use of resources.

The UCSF UC Berkeley Joint Program in Computational Precision Health (CPH) is a new graduate training and research program that will change health care practice and policy locally and globally. Our mission is to apply computation to real-world settings to improve the quality, efficiency, and equity of medicine and public health.

The PhD in Computational Precision Health trains students to rigorously formulate problems with direct impact on individual and population health, and to develop new computational methods to address these problems in the complexity of the real world.

Students in the PhD in Computational Precision Health will develop skills and expertise in both thecomputational sciences (machine learning and AI, natural language processing, statistical inference and modeling, data standards, parallel computing and data at scale, etc.) and health sciences (clinical decision sciences and cognitive informatics, clinical delivery, clinical research, implementation science, health information policy, etc.)

Students will develop the ability to work in interdisciplinary teams from ideation to development, testing, and validation in the real world. Coursework will be 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 will be embedded throughout the program.

Applications for 2023 admission are open from September 15, 2022-January 6, 2023. Full application details, and information on curriculum, funding, CPH faculty, and more can be found at:


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  • Biostatistics and Bioinformatics Seminar November 14, 2024 at 12:00 pm – 1:00 pm Seminar Series Event Type: Seminar SeriesSpeaker: Brian J Reich, PhDContact Name: Mary AbosiContact Email: mabosi@emory.eduRoom Location: CNR PLAZA - Rollins AuditoriumTitle: Spatial Confounding and Preferential Sampling
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  • Biostatistics and Bioinformatics Seminar November 21, 2024 at 12:00 pm – 1:00 pm Seminar Series Event Type: Seminar SeriesSpeaker: George Tseng, PhDContact Name: Mary AbosiContact Email: mabosi@emory.eduRoom Location: CNR PLAZA - Rollins AuditoriumTitle: Multi-faceted and outcome-guided cluster analysis for disease subtyping of omics data

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