Summary
Brielin Brown is an Assistant Professor at the University of Pennsylvania's Perelman School of Medicine, shaping the development and application of statistical and computational methods in genetics and genomics with a focus on complex traits. Her work spans informatics, biostatistics, epidemiology, and genetics, emphasizing large-scale exploratory data analysis, causal inference, omics data integration, and cross-ancestry analysis. Her career includes a postdoctoral role at Columbia's Data Science Institute, a computational biology position at Verily Life Sciences, and a Ph.D. in Computer Science from UC Berkeley where she developed GWAS summary-data models that reveal population-specific genetic effects. She has contributed to advancing trans-ethnic methods and advocates for broader inclusion of non-European populations in human genetics research. Based in Haddon Heights, New Jersey, she combines rigorous research with a commitment to education and mentoring the next generation of computational geneticists.
16 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
English