Chao Gao
Senior Scientist at AbbVie
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolChao Gao is a Senior Scientist with 11 years of experience at the intersection of machine learning, computational biology, and single-cell genomics, currently leading immunology computational biology at AbbVie in Cambridge. He holds a PhD in Bioinformatics from the University of Michigan and has developed scalable methods—like online iNMF and graph neural networks—for integrating spatially resolved multimodal data and single-cell epigenomics. His work spans representation learning, Bayesian variational inference, and multimodal deep learning, with applied experience in industry internships (Regeneron) and teaching machine learning in computational biology. Notably, he combines rigorous statistical training in biostatistics and pharmacology with practical model-building that has driven biological insights and diagnostic models in clinical contexts.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at University of Michigan Medical SchoolMaster of Science - MS, Biostatistics, Master of Science - MS, Biostatistics at University of Michigan School of Public HealthBachelor of Engineering - BE, Bioengineering, Bachelor of Engineering - BE, Bioengineering at China Pharmaceutical University
English, Chinese, French
Github Skills (7)
r-package10
datasets9
bioinformatics9
seurat8
single-cell-analysis8
single-cell-genomics4
csharp3
Programming languages (1)
Github contributions (5)
cgao90/mofapy2
Mar 2024 - Mar 2024
Multi-omics factor analysis v2
Contributions:21 pushes in 1 day
cgao90/liger
Aug 2019 - Aug 2019
R package for integrating and analyzing multiple single-cell datasets
Contributions:14 pushes in 1 day
analyzingr-packagebioinformaticsdatasetsintegrating
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