Salil Bhate
Research Leader at Isomorphic Labs
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolSalil Bhate is a systems biology and AI researcher with nine years of experience developing first-principles frameworks to represent and engineer biological systems from high-parameter single-cell and imaging data. As the Eric and Wendy Schmidt Postdoctoral Fellow at the Broad Institute, he builds theoretical and computational tools bridging machine learning, tissue imaging, and the tumor-immune microenvironment. His PhD and MS in Bioengineering (Stanford) and a first-class M.Math from Cambridge equip him to translate advanced math and ML into practical experimental analysis pipelines. Past work spans CRISPR-focused ML, high-throughput protein and library screening, and software engineering for data pipelines, reflecting fluency across wet lab and computational domains. He’s particularly skilled at turning complex imaging modalities into functional, interpretable models—an ability that has driven collaborations with leaders like Juan Caicedo and Caroline Uhler.
9 years of coding experience
3 years of employment as a software developer
B.A and M.Math, Mathematics, B.A and M.Math, Mathematics at University of CambridgeDoctor of Philosophy (Ph.D.), Bioengineering, Doctor of Philosophy (Ph.D.), Bioengineering at Stanford University
Marathi, German, French, Russian, Chinese, Greek, Latin, Hindi, English
Github Skills (1)
orchestrate9
Programming languages (1)
Github contributions (4)
salilb1/salilb1.github.io
Apr 2022 - Jan 2026
Contributions:38 pushes in 3 years 9 months
nolanlab/TissueSchematics
Sep 2021 - Nov 2021
Code accompanying the manuscript "Tissue Schematics map the specialization of immune tissue motifs and their appropriation by tumors"
Contributions:1 release, 9 commits, 3 pushes in 2 months
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