Yuanbin Ru
Associate Director, Translational Data Science
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolYuanbin Ru is an Associate Director in Translational Data Science with over 15 years post-PhD experience applying bioinformatics, genomics, and machine learning to drug R&D across oncology, autoimmune, and genetic diseases. He has built data science functions from the ground up, led cross-functional biomarker and translational programs, and contributed to the discovery of 30+ drug candidates including multiple clinical-stage assets and approvals that generated $1.4B in 2024. A hands-on computational biologist, he develops and maintains widely used bioinformatics tools (e.g., multiMiR and CCM) and has combined open-source contributions—like force-layout improvements to d3—with deep translational expertise. Yuanbin routinely translates complex multi-omics signals into clinical-ready signatures and prognostic models, and he pairs that technical depth with a track record of mentoring teams and securing leadership alignment. Notably, his work spans both primary analysis of pivotal trials and development of reproducible pipelines for diverse assays, demonstrating rare end-to-end impact from algorithm to clinical submission.
14 years of coding experience
17 years of employment as a software developer
Ph.D. Genetics, Ph.D. Genetics at Iowa State UniversityB.S. Plant Molecular and Developmental Biology, B.S. Plant Molecular and Developmental Biology at Peking University
English, Chinese, Chinese
Github Skills (9)
javascript10
d3js10
visualizations9
data-visualisation9
data-visualization9
visualization9
data-visualizations9
svg8
charts7
Programming languages (15)
Github contributions (5)
d3/d3
Sep 2011 - Sep 2011
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 commits in 1 day
Contributions summary:Yuanbin primarily worked on the `d3/d3` repository, focusing on the force layout functionality. They implemented features related to charge calculations for nodes, including node-dependent charges and adjustments to the accumulation process within the quadtree. Further contributions include modifying the charge method and updating internal calculations, demonstrating a clear focus on improving the force layout's core behavior.
chartschartsvgcanvasjavascript
yasirs/cmn
Jun 2011 - Aug 2011
Contributions:13 commits in 2 months
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