Brielin C. Brown is an Assistant Professor of Informatics and Genetics in the Perelman School of Medicine who is broadly interested in the development and application of statistical and computational methods in bioinformatics and genetics with a focus on complex traits. Dr. Brown is particularly interested in large-scale exploratory data analysis, causal inference, omic sdata integration, and cross-ancestry analysis.

His research group uses these techniques to analyze medically-linked genetic and multi-omic studies, single-cell sequencing and CRISPR based screen data with the goal of understanding the mechanism of complex, common disease. The long-term goal of his research group is to build large-scale, causally grounded, multifactorial disease models that can be used to predict intervention effects, identify key pathways, and enable precision medicine.

Dr. Brown received a PhD from the Department of Computer Science at the University of California, Berkeley (2016) before working as a computational biologist at Verily Life Sciences. In 2019, he returned to academia as a Data Science Institute fellow at Columbia University and a postdoctoral fellow at the New York Genome Center.