Victor Hanson-smith is a computational biologist and computer scientist with 14 years of experience building AI-driven discovery platforms that reveal causal mechanisms in genetically complex neurodegenerative diseases. He led and scaled Verge Genomics’ computational biology group, advancing an ALS program into Phase 2 and building a pipeline of preclinical candidates by integrating genomics, transcriptomics, and phenotypic data with experimental validation in human cells and animal models. Trained in algorithm design and high-performance computing (PhD, University of Oregon), he spans the full discovery arc from hypothesis generation to in vivo testing, focusing upstream where computational leverage is highest. He has a track record of shipping production-grade software and novel algorithms that surface signals traditional evidence-filtering misses. Currently on sabbatical in California, he’s open to conversations about hard translational problems where computation can change the shape of drug discovery.
14 years of coding experience
4 years of employment as a software developer
PhD Computer & Information Science, PhD Computer & Information Science at University of Oregon
B.S. Computer Science, B.S. Computer Science at Seattle University
Contributions:145 commits, 36 pushes, 1 comment in 2 years 5 months
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