Kejue Jia is an Associate Research Scientist at Yale with 11 years of computational biology and software engineering experience, blending deep academic training (PhD in Biomathematics/Bioinformatics) with earlier industry-grade Unix and web development work. His research focuses on cell type and gene module evolution as well as protein sequence matching and homology detection, translating algorithmic insight into tools for comparative genomics. Kejue’s trajectory—from senior Unix engineer roles to postdoctoral research and now a research scientist—reflects uncommon fluency in both production-quality software and rigorous computational biology. Based in New Haven, he brings a practical systems mindset to biological questions, often leveraging scalable sequence-matching approaches informed by years of low-level software experience.
11 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (PhD), Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy (PhD), Biomathematics, Bioinformatics, and Computational Biology at Iowa State University
Master's, Computer Science, Master's, Computer Science at San Diego State University
Bachelor's, Computer Science, Bachelor's, Computer Science at Beijing University of Technology
Contributions:293 commits, 490 pushes, 1 branch in 6 years 2 months
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