Assistant Professor at University of Pennsylvania School of Medicine
Haddon Heights, New Jersey, United States
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Brielin Brown is an Assistant Professor at the University of Pennsylvania Perelman School of Medicine with 17 years of experience applying statistical and computational methods to genetics and genomics. After a Ph.D. in Computer Science from UC Berkeley and a postdoc at Columbia’s Data Science Institute, Brielin has focused on large-scale exploratory analysis, causal inference, multi-omic integration, and cross-ancestry studies of complex traits. Their work spans academia and industry—previous roles at Verily and 23andMe informed scalable approaches to heritability and population-aware models. Notably, Brielin developed novel GWAS summary-data models showing how genetic effects can vary across populations, driving advocacy for greater inclusion of non-European cohorts. Based in New Jersey with a secondary appointment in Genetics, they combine rigorous method development with a persistent interest in translating diverse population data into actionable genetic insights.
17 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of California, Berkeley
BS BA Physics Computer Science, BS BA Physics Computer Science at University of Virginia
Contributions:13 commits, 7 pushes, 2 comments in 5 months
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Brielin Brown - Assistant Professor at University of Pennsylvania School of Medicine