Summary
Liming Tao is a Scientist III based in the San Francisco Bay Area with 11 years of experience decoding cancer evolution using single-cell genomics. He designs and leads end-to-end projects that span technology development, integrative multi-omic analysis, spatial transcriptomics, and machine learning to trace tumor lineages and somatic mutation dynamics. His work has produced multiple publications, a patent application, and collaborative studies with labs at MGH, UPenn, and Broad Institute, demonstrating an ability to translate methods into impactful biology. At Genentech he built new single-cell lineage and multiome platforms, mentored trainees, and paired sequencing technology consulting with hands-on lab setup and instrument management. Notably, he has contributed to efforts comparing AI agents and human analysts on single-cell and spatial data, indicating a practical interest in automating and benchmarking analytical workflows. He holds a PhD in Biochemistry and Molecular Genetics and combines deep computational expertise with experimental fluency to drive translational cancer research.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Biochemistry and Molecular Genetics, PhD, Doctor of Philosophy (PhD), Biochemistry and Molecular Genetics, PhD at Chinese Academy of Sciences
English, Chinese