Shilpa Kobren is an Associate Director of Rare Disease Analysis at Harvard Medical School who develops computational methods that integrate genomic and clinical data to uncover the genetic basis of ultrarare, undiagnosed disorders. With a PhD in Computer Science from Princeton and nine years of experience in genome-scale sequencing and molecular omics, she has harmonized and jointly called variants for thousands of whole genomes across a multi-institutional cohort using AWS. She chairs the Tool Building Coalition within the Undiagnosed Diseases Network, founded a bioinformatics working group, and teaches genome sequencing analysis for rare disease diagnosis. Known for bridging rigorous method development with clinical collaboration, she routinely mentors students from undergraduate to PhD levels and brings an uncommon blend of systems-level computational skill and hands-on variant curation to translational rare disease research.
9 years of coding experience
3 years of employment as a software developer
B.S., summa cum laude, Biology, Computer Science, B.S., summa cum laude, Biology, Computer Science at Tufts University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Princeton University
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