Wuming Gong

Principal Scientist at Genentech

South San Francisco, California, United States
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Summary

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Senior
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Top School
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.
code10 years of coding experience
job12 years of employment as a software developer
bookDoctor of Philosophy (PhD), Genetics, Doctor of Philosophy (PhD), Genetics at University of Minnesota
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Github Skills (38)

vector-database10
llm10
fine-tuning10
application10
gpt9
data-structures9
typescript8
r-package8
microsoft7
electron7
image-reconstruction7
vscode-extension7
forge7
vscode7
editor7

Programming languages (4)

TypeScriptRShellPython

Github contributions (5)

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gongx030/dream_PGE

Aug 2022 - Mar 2023

Contributions:26 commits, 11 pushes in 7 months
gongx030/DrImpute

May 2018 - Dec 2020

Contributions:21 commits, 14 pushes, 1 branch in 2 years 7 months
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Wuming Gong - Principal Scientist at Genentech