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Tony Capra, PhD

Tony Capra, PhD

Associate Professor of Epidemiology & Biostatistics

Dr. Capra received a PhD in computer science from Princeton University under the supervision of Mona Singh. He was a postdoc in the group of Katherine Pollard at the Gladstone Institutes and UCSF. As a postdoc, he developed comparative genomics algorithms that integrated genome-scale data to develop testable hypotheses about the function of non-coding regulatory elements and to study recent human evolution.

Research Overview:

Dr. Capra's research group uses methods from computer science and statistics to solve problems in genetics, evolution, and biomedicine. They integrate diverse genome-scale data and generate testable hypotheses about the function and evolution of genetic variants. They apply these methods to: 1) study the genetics of recent human evolution and disease risk and 2) better interpret genetic variants (both protein-coding and non-coding) of unknown significance.

Computational health science interests: