Mohammed Khan

Software Engineer at Zwift

New Haven, Connecticut, United States
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Summary

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Senior
🎓
Top School
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.
code13 years of coding experience
bookDoctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology at Yale University
bookBachelor of Engineering - BE, Bioengineering and Biomedical Engineering, Bachelor of Engineering - BE, Bioengineering and Biomedical Engineering at University of Pennsylvania
languagesBengali
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Github Skills (9)

eye-tracking5
effort4
toolbox3
docking2
windows1
open-source1
cross-platform1
taskbar1
inno-setup1

Programming languages (2)

C++Python

Github contributions (5)

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muhammadkhan/PokeJouki

Nov 2012 - Dec 2012

Contributions:34 commits in 22 days
Contributions:12 pushes, 1 branch in 2 years 9 months
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Mohammed Khan - Software Engineer at Zwift