Binglan Li
Research Data Scientist
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolBinglan Li is a research data scientist and computational biologist with 10 years of experience applying ML/AI and statistical genomics to translate large-scale biobank data into clinical insights. She has driven substantial performance gains in clinical software—cutting PharmCAT runtimes from ~3,000 hours to ~1 hour and automating a 500K WGS UK Biobank pipeline to improve efficiency by over 80%. Her work spans pharmacogenomics, translational research, and LLM benchmarking for safe clinical Q&A, blending hands-on tool development with rigorous validation and red-teaming. Based in San Jose, she combines a PhD in Genomics and Computational Biology with practical engineering skills to deploy impactful clinical pipelines and reproducible analytic architectures. An often-overlooked strength is her focus on end-to-end clinical usability—creating tutorials, user support, and validation tools alongside core algorithmic advances.
10 years of coding experience
4 years of employment as a software developer
Biomathematics, Bioinformatics, and Computational Biology, Biomathematics, Bioinformatics, and Computational Biology at Penn State UniversityBachelor of Science (BS), Life Sciences, Bachelor of Science (BS), Life Sciences at Fudan UniversityHigh School Diploma, 4.0, High School Diploma, 4.0 at Xiamen No.1 High School of FujianDoctor of Philosophy - PhD, Genomics and Computational Biology, Doctor of Philosophy - PhD, Genomics and Computational Biology at University of Pennsylvania
English, Chinese, Japanese, min
Github Skills (30)
variants10
cancer-genomics10
bioinformatics10
bcftools10
fine-mapping8
set-analysis8
genetic6
meta-analysis5
imputation5
beta-testing5
bioinformatics-analysis5
reproducible-research3
testing3
r3
r-package3
Programming languages (10)
Github contributions (5)
PharmGKB/PharmCAT-tutorial
Nov 2022 - Apr 2024
Tutorial materials for the PharmCAT
Contributions:15 pushes in 1 year 5 months
BinglanLi/GeneAgent
Aug 2025 - Jul 2026
The code for gene set analysis by accessing domain databases
Contributions:27 pushes, 1 branch in 10 months
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