Jingkang Zhao
Data Science Manager
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolJingkang Zhao is a Data Science Manager at Meta with nine years of experience bridging computational biology research and production data science. He holds a PhD in Computational Biology and Bioinformatics from Duke and a strong quantitative foundation from Peking University (B.S. Statistics) and a Master in Biostatistics, enabling him to translate complex genomic questions into scalable predictive models. His academic work focused on modeling non-coding somatic mutations in cancer, a niche that informs his product-facing efforts to detect subtle, high-impact signals in noisy data. At Meta he progressed rapidly from Data Scientist to Staff Data Scientist and now manager, demonstrating both technical depth and team leadership across research-to-production lifecycles. Based in the Greater Seattle Area, he blends rigorous statistical thinking with practical engineering to ship reliable analytics and ML solutions at scale. Colleagues value his rare combination of domain expertise in genomics and hands-on experience deploying data-driven systems in large tech environments.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Computational Biology and Bioinformatics, Doctor of Philosophy (PhD) Computational Biology and Bioinformatics at Duke UniversityMaster of Biostatistics Biostatistics, Master of Biostatistics Biostatistics at Duke University School of MedicineBachelor of Science Statistics, Bachelor of Science Statistics at Peking University
Chinese, English
Github Skills (4)
prediction4
quantitative3
binding3
python2
Programming languages (1)
Github contributions (5)
jz132/cancer-mutations
Sep 2019 - Jul 2021
Contributions:90 commits, 81 pushes, 1 branch in 1 year 10 months
jz132/QBiC-Pred
Dec 2018 - Sep 2019
Quantitative Binding Change Prediction
Contributions:2 PRs, 7 pushes in 8 months
pythonpredictionquantitativebinding
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