Tom Sasani is a Staff Research Scientist and computational biologist with a decade of experience turning large multi-omics and imaging datasets into biological insight. He combines strong Python engineering, reproducible workflows, and clear data visualizations to develop computational methods for studying germline mutation, evolutionary biology, and drug discovery. His academic work identified genetic modifiers of mutation rates using large pedigrees and single-cell sequencing, while industry roles at Recursion applied image-based screening at scale to nominate therapeutic candidates. Based in Atlanta, he bridges rigorous hypothesis-driven research with production-focused data science, and has hands-on experience building automated HPC pipelines that process terabytes of sequencing data.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Biochemistry, Bachelor of Arts - BA, Biochemistry at Lawrence University
Code for reproducing figures and analysis from the BXD mutator manuscript (https://www.biorxiv.org/content/10.1101/2021.03.12.435196v1).
Contributions:3 releases, 165 commits, 2 PRs in 1 year 2 months
mutatorfiguresgenomicsbioinformaticsbiorxiv
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