Mohammed Khan is a software engineer with 13 years of experience who bridges computational biology research and production-grade web and backend systems, currently building at Zwift from New Haven. He holds a Ph.D. in Computational Biology/Bioinformatics from Yale, where he created scalable, automated pipelines for neoepitope detection and gene-fusion discovery that improved throughput and latency by an order of magnitude. As a postdoc at Yale School of Medicine he extended that work to pharmaceutical and immunotherapy datasets, shipping Python-driven analysis and visualization tools for large-scale genomics. Comfortable across front-end and back-end stacks, he combines rigorous data-science instincts with practical software engineering to turn complex biological problems into reliable, performant applications. Quietly self-described as a “coding junkie,” he pairs deep domain expertise with a track record of productionizing research-grade algorithms.
13 years of coding experience
Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology at Yale University
Bachelor of Engineering - BE, Bioengineering and Biomedical Engineering, Bachelor of Engineering - BE, Bioengineering and Biomedical Engineering at University of Pennsylvania
Contributions:12 pushes, 1 branch in 2 years 9 months
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