Summary
Arun Durvasula is an assistant professor and computational biologist with 12 years of experience applying statistical and population-genomic methods to dissect the genetic architecture of traits and disease. Trained at UCLA and Harvard Medical School under leaders like Kirk Lohmueller, Sriram Sankararaman, David Reich, and Alkes Price, he develops quantitative tools to link evolutionary forces to phenotypic variation. His work spans model and crop systems to human genomics, includes new software and pipelines for population genetics, and early-career contributions such as discovering a novel plant virus and managing large-scale HPC transitions. Based in Los Angeles, he blends rigorous theory with practical engineering to uncover mechanisms driving phenotype and disease progression, often revealing subtle evolutionary signals not apparent from association studies alone.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Biotechnology, Bachelor of Science (B.S.), Biotechnology at University of California, Davis
Postdoc, Postdoc at Harvard Medical School
University of California, Los Angeles
English