Casey Hanson
Computational Lead
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolCasey Hanson is a computational lead and published Ph.D. scientist with nine years of experience applying machine learning and rigorous software engineering to biological problems, currently directing bioinformatics services at Cedars-Sinai. He develops end-to-end analysis pipelines across bulk, single-cell, spatial, and long-read modalities, translating complex multi-omic data into actionable biological insight. Casey’s Ph.D. work produced probabilistic methods (pGENMi) linking transcriptional regulation to drug response and helped create one of the first TF–drug association resources; he later expanded this translational focus at Stanford by integrating transcriptomics with lipidomic, proteomic, and metabolomic data for colorectal cancer. Comfortable moving projects from algorithm design to production, he blends academic rigor with operational leadership in a core genomics facility. Based in Los Angeles, he’s seeking roles that leverage his ability to bridge computational innovation and wet-lab discovery.
9 years of coding experience
4 years of employment as a software developer
Saint Louis UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Illinois Urbana-ChampaignBachelor of Science, Bachelor of Science at Washington University in St. LouisProgramming languages (1)
Github contributions (5)
KnowEnG/pgenmi
Mar 2017 - Feb 2019
Contributions:1 release, 46 commits, 39 pushes in 1 year 11 months
caseyrhanson/tensorflow_setup
Jun 2018 - Dec 2018
Contributions:54 pushes, 1 branch in 6 months
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