Summary
Wuming Gong is a Principal Scientist and computational biologist with a decade of experience building bioinformatics infrastructure, leading research software teams, and developing algorithms for single-cell and multi-omics analysis. He has a strong track record in both academia and industry—winning the Allen Institute DREAM Challenge for lineage reconstruction (DCLEAR) and advancing methods like SeATAC, scNCA, DrImpute and dpath for single-cell analysis. At Genentech and the University of Minnesota he has driven projects that span CRISPR lineage tracing, endothelial reprogramming, cardiac regeneration, and human–pig chimerism, combining machine learning with deep domain knowledge. He also has longstanding expertise in biological databases and siRNA design from earlier work, enabling him to bridge experimental needs and computational solutions. Colleagues rely on him for translating complex multi-dimensional data into actionable biological insights and robust software tools.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Genetics, Doctor of Philosophy (PhD), Genetics at University of Minnesota