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
10 years of employment as a software developer
Bachelor of Arts - BA English Language and Literature General, Bachelor of Arts - BA English Language and Literature General at Huazhong University of Science and Technology
Master Certificate Bioinformatics, Master Certificate Bioinformatics at Tsinghua University
Bachelor's degree Agricultural and Horticultural Plant Breeding, Bachelor's degree Agricultural and Horticultural Plant Breeding at Huazhong Agricultural University
Doctor of Philosophy - PhD Ecology and Evolutionary Biology, Doctor of Philosophy - PhD Ecology and Evolutionary Biology at MPIPZ - Max Planck Institute for Plant Breeding Research
Doctor of Philosophy - PhD Population Genetics Bioinformatics and Molecular Evolution, Doctor of Philosophy - PhD Population Genetics Bioinformatics and Molecular Evolution at University of Chinese Academy of Sciences
German, Chinese, English, Japanese