Binglan 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.
9 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 University
Bachelor of Science (BS), Life Sciences, Bachelor of Science (BS), Life Sciences at Fudan University
High School Diploma, 4.0, High School Diploma, 4.0 at Xiamen No.1 High School of Fujian
Doctor of Philosophy - PhD, Genomics and Computational Biology, Doctor of Philosophy - PhD, Genomics and Computational Biology at University of Pennsylvania
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