Paul Lee
Bioinformatician
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolPaul Lee is a bioinformatician with eight years of experience translating multi-omics data from global biobanks into actionable insights for precision medicine and drug discovery. He combines genomics, proteomics, and computational structural biology—applying molecular dynamics, HDX-MS integration, and unsupervised ML—to interrogate membrane proteins and other clinically relevant targets. His work spans government research at NIH, teaching introductory Python, and leadership in student data science communities, now continuing at DataTecnica while pursuing advanced training in psychiatry at Oxford. Comfortable bridging wet‑lab experimental data and scalable computational pipelines, he brings a rare blend of hands‑on structural analysis and policy-facing health IT experience.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Psychiatry, Doctor of Philosophy - PhD Psychiatry at University of OxfordBachelor of Science - BS Chemistry with an Emphasis in Biochemistry, Bachelor of Science - BS Chemistry with an Emphasis in Biochemistry at University of MississippiUMBC
English, Korean
Github Skills (5)
genomics4
transcriptomics4
mercury4
federated-learning2
machine-learning2
Programming languages (2)
Github contributions (5)
Lucy-Forrest-Lab/HDXer
Sep 2020 - May 2021
HDXer is a package to compute Hydrogen-Deuterium exchange data from biomolecular simulations, compare to experiment, and perform ensemble refinement to fit a structrual ensemble to the experimental data
Contributions:27 commits, 28 pushes, 2 branches in 7 months
leesup/Introduction-to-Python
Jul 2019 - Mar 2022
Contributions:7 PRs, 17 pushes, 5 branches in 2 years 8 months
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