Leihong Wu
AI Research Scientist at FDA, National Center for Toxicological Research
Arkansas, United States
Summary
👤
Senior🎓
Top SchoolLeihong Wu is an AI Research Scientist at the FDA’s National Center for Toxicological Research with over a decade of experience applying statistical analysis and machine learning to large, sensitive datasets such as EMRs, genomics/NGS, scientific literature, and imaging. Trained with a PhD in Pharmacology and a bachelor’s in Bioinformatics from Zhejiang University, she blends domain expertise in biology with rigorous quantitative methods including linear models, multivariate analysis, and sampling techniques. She has translated regulatory questions into auditable, data-driven answers for FDA missions, pairing statistical rigor with practical decision-making. A seasoned Python and web-app developer, she has over seven years building production web tools with Django, JavaScript, and Oracle-backed systems to operationalize research. Her work sits at the intersection of translational science and applied AI, helping convert complex biomedical data into regulatory insight. Based in Arkansas, she brings a rare combination of bench-to-production experience that accelerates trustworthy AI in health and safety contexts.
10 years of coding experience
Bachelor's degree, Bioinformatics, Bachelor's degree, Bioinformatics at Zhejiang University
English, Chinese
Github Skills (8)
python9
machine-learning9
deep-learning8
tensorflow8
data-science7
neural-network7
ml5
deep-neural-networks5
Programming languages (3)
Github contributions (5)
seldas/HetEnc_Code
Sep 2018 - Dec 2019
Contributions:14 commits, 13 pushes, 1 branch in 1 year 3 months
seldas/SIST
Dec 2017 - Aug 2018
Contributions:23 pushes, 1 branch in 8 months
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