Yi Hsiao is a bioinformatics-focused scientist and postdoctoral researcher at the University of Michigan with 11 years of experience bridging computational methods and biological discovery. Trained in bioinformatics, biomedical electronics, chemistry and electrical engineering, Yi applies machine learning, proteomics and proteogenomics to cancer research and computer-aided drug design. Past roles span industry and academia—building drug-repurposing pipelines for COVID-19, HLA typing of population WGS, voice-enabled genome interpretation tools, and accelerated proteomics analysis services—demonstrating a knack for turning domain knowledge into production-ready software. Notably, Yi has delivered high-impact ML models in reproductive medicine and optimized mass-spec proteomics pipelines to run 4x faster, reflecting both practical engineering and biological insight. Based in Ann Arbor, Yi combines deep technical breadth with hands-on experience in translational projects that move from algorithm to lab-ready results.
11 years of coding experience
3 years of employment as a software developer
Master's degree, Biomedical Electronics and Bioinformatics, Master's degree, Biomedical Electronics and Bioinformatics at National Taiwan University
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at University of Michigan Medical School
Contributions:23 commits, 4 PRs, 16 pushes in 1 year 6 months
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