Summary
Li Lei is a Biotech AI/ML Scientist based in the San Francisco Bay Area with over a decade of experience applying machine learning to population genetics, bioinformatics, and evolutionary biology. He has progressed from academic and institutional research roles at Peking University, Kansas State, University of Minnesota, and Berkeley Lab to industry work at Syngenta, and concurrently founded GenAIomic Assembly to catalyze community dialogue at the intersection of generative AI and omics. His work blends scalable ML systems with deep domain expertise in molecular evolution and population genetics, often translating complex genomic questions into production-ready computational solutions. As a former principal investigator, he pairs leadership in multidisciplinary teams with hands-on algorithm development and reproducible bioinformatics pipelines. He holds advanced training from MPIPZ and the University of Chinese Academy of Sciences, and his background in both plant breeding and English literature gives him a rare ability to communicate technical ideas clearly across scientific and nontechnical audiences.
10 years of coding experience