Summary
Selin Jessa is a computational biologist and postdoctoral scientist at Stanford with 11 years of experience applying single-cell genomics and machine learning to questions of brain development and disease. Trained in quantitative life sciences (PhD, McGill) with a joint background in computer science and biology, she builds data-driven pipelines to map cell-of-origin and oncogenic mechanisms in pediatric brain tumors and to assemble developmental scRNA-seq atlases. Her work spans scRNA-seq, scATAC-seq, multi-modal single-cell assays, bulk epigenomics (ChIP-seq, Hi-C) and custom integration strategies that connect model systems to patient multi-omic data. At Stanford she combines rigorous computational method development with an interest in open science and functional genomics, bringing tools and reference atlases that enable reproducible analysis. Notably, she has developed and released Bioconductor tooling (chromswitch) early in her career, showing a pattern of producing reusable software alongside biological insights. Based in Palo Alto, she brings both deep technical fluency and domain expertise to translational questions about how cells decide their fates.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Quantitative Life Sciences, Doctor of Philosophy (PhD), Quantitative Life Sciences at McGill University