Summary
Vishal Sarsani is a Senior Computational Scientist and applied statistician with a Ph.D. in Statistics and nine years of experience translating multiomics, single-cell, proteomic, genetic and clinical data into actionable insights for neuroscience and immunology. He leads integrative analyses at the Broad Institute to identify cellular mechanisms and patient strata in neurodegenerative disease, blending probabilistic machine learning with rigorous biostatistics. His background spans academic postdoctoral training at Harvard T.H. Chan School of Public Health and hands-on genomics engineering at The Jackson Laboratory, where he helped improve de novo assembly workflows and reduce false-positive variant calls. Comfortable moving methods from research to production, he has also contributed tooling for PKPD covariate selection and biomarker discovery in industry internships. Colleagues rely on him for statistical leadership across collaborative teams and for turning complex, heterogeneous datasets into testable biological hypotheses.
9 years of coding experience
5 years of employment as a software developer
Master of Science (M.S.), Bioinformatics, Master of Science (M.S.), Bioinformatics at Indiana University Indianapolis
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of Massachusetts Amherst
Postdoctoral Fellow in Epidemiology, Postdoctoral Fellow in Epidemiology at Harvard T.H. Chan School of Public Health