Kevin Luo
Staff Scientist at University of Chicago
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolKevin Luo is a Staff Scientist at the University of Chicago with 11 years of experience applying statistics and machine learning to computational genomics, statistical genetics, and multi-omics integration. He bridges deep academic training (PhD in Computational Biology/Bioinformatics from Duke) with translational ambition—driving data-driven precision medicine through transcriptomic, epigenomic, and proteomic analyses. His background includes postdoctoral work under leading statistical genetics mentors and research at Duke on machine learning for regulatory genomics, giving him both methodological rigor and practical experimental insight. Kevin also pursues entrepreneurship and venture-focused training from top business schools, reflecting an uncommon blend of technical research and product/innovation thinking. Based in Chicago, he combines systems-level computational approaches with an eye for technology translation in healthcare.
11 years of coding experience
5 years of employment as a software developer
Entrepreneurship, Entrepreneurship at Duke University - The Fuqua School of BusinessBachelor of Science - BS, Bioinformatics, Bachelor of Science - BS, Bioinformatics at Shanghai Jiao Tong UniversityEntrepreneurship and Venture Capital, Entrepreneurship and Venture Capital at The University of Chicago Booth School of BusinessDoctor of Philosophy (Ph.D.), Computational Biology and Bioinformatics, Doctor of Philosophy (Ph.D.), Computational Biology and Bioinformatics at Duke UniversityMaster of Science - MS, Bioinformatics, Master of Science - MS, Bioinformatics at Fudan University
Chinese, English
Github Skills (4)
causal9
machine-learning1
topic-models1
matrix1
Programming languages (3)
Github contributions (5)
kevinlkx/analysis_pipelines
May 2020 - Mar 2025
Contributions:45 pushes, 2 comments, 2 issues in 4 years 10 months
xinhe-lab/mapgen
Jan 2022 - Aug 2024
R package to perform gene mapping using functionally-informed genetic fine mapping
Contributions:6 releases, 12 PRs, 80 pushes in 2 years 7 months
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