Tony Capra, PhD
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.
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.