Ashir Borah is a PhD candidate in bioinformatics at UCSF and the Arc Institute with nine years of experience applying computational and wet-lab methods to functional genomics. He has advanced expertise in analyzing whole-genome CRISPR knockout screens and developing machine learning and statistical approaches to identify cancer vulnerabilities, with a particular focus on GI cancers. At the Broad Institute he helped validate genetic targets that could translate into therapeutic leads, and at UCSF he teaches R to clinicians and postdocs, blending pedagogy with hands-on data analysis. Ashir’s background in math and computer science (Magna Cum Laude) and early work building ML systems and infrastructure gives him a rare combination of rigorous quantitative skills and practical engineering judgment. He’s driven by translating large-scale genomic data into experimentally actionable hypotheses and enjoys mentoring others to close the gap between computation and the bench.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.Sc.), Mathematics and Computer Science, 3.89 Magna Cum Laude, Bachelor of Science (B.Sc.), Mathematics and Computer Science, 3.89 Magna Cum Laude at Dickinson College
All India Senior School Certificate Examination (AISSCE) - CBSE, English, Physics, Chemistry, Mathematics and Computer Science, 11 and 12, All India Senior School Certificate Examination (AISSCE) - CBSE, English, Physics, Chemistry, Mathematics and Computer Science, 11 and 12 at Delhi Public School - R. K. Puram
All India Secondary School Examination - CBSE, English, Science (Physics, Chemistry, Biology), Social Science, Mathematics, Sanskrit, 2 to 10, All India Secondary School Examination - CBSE, English, Science (Physics, Chemistry, Biology), Social Science, Mathematics, Sanskrit, 2 to 10 at Delhi Public School, Guwahati
Contributions:28 commits, 4 PRs, 15 pushes in 1 month
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