Tom Sasani

Staff Research Scientist at University of Utah

Atlanta, Georgia, United States
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Summary

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Rockstar
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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.
code10 years of coding experience
job3 years of employment as a software developer
bookBachelor of Arts - BA, Biochemistry, Bachelor of Arts - BA, Biochemistry at Lawrence University
bookThe University of Utah
bookThe Taft School
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Github Skills (18)

genetics9
genomics9
bioinformatics8
figure7
spring7
genome6
genome-assembly5
journal5
catalog4
sequencing4
python4
science4
bayesian3
open-science3
signal2

Programming languages (4)

C++HTMLJupyter NotebookPython

Github contributions (5)

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tomsasani/power

Sep 2017 - Oct 2021

Contributions:2 PRs, 11 pushes, 1 branch in 4 years 1 month
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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