Summary
Hurley Li is a Sr. Principal Scientist with a decade of experience translating computational genomics into actionable strategies for autoimmune therapeutics at Johnson & Johnson. He leads translational science across early and late-stage immunology programs, building single-cell atlases and novel computational frameworks for patient stratification, biomarker interpretation, and combination therapy rationale. Earlier, he processed and interpreted over 10,000 clinical exomes at Baylor, inventing deep learning methods that jointly model genotype and phenotype to discover new disease genes. His background spans population and statistical genetics, iPSC functional genomics, and cloud-based pipelines, enabling him to bridge wet-lab experiments with scalable computational infrastructure. Based in Philadelphia, he combines rigorous academic training and hands-on tool-building with a clear focus on bringing precision medicine to under-treated autoimmune patients.
10 years of coding experience
9 years of employment as a software developer
Master's degree Cell and Molecular Biology, Master's degree Cell and Molecular Biology at Jilin University
Doctor of Philosophy - PhD Immunology Autoimmune Disease Bioinformatics, Doctor of Philosophy - PhD Immunology Autoimmune Disease Bioinformatics at University of Oklahoma