Qi Song
Principal Scientist, Predictive Biology And AI at Bristol Myers Squibb
Hopatcong, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolQi Song is a Principal Scientist specializing in predictive biology and AI with nine years of experience applying machine learning to single-cell genomics and drug discovery. He has led projects that reconstruct gene regulatory networks, developed widely used unsupervised and supervised tools for single-cell analysis, and built ML-driven pipelines to prioritize disease pathways and predict drug perturbation outcomes. His work spans academia and industry—from postdoctoral roles at Carnegie Mellon and Harvard affiliations to leading AI efforts at Bristol Myers Squibb—resulting in multiple Nucleic Acids Research and Genome Biology publications and open-source packages such as scSTEM and ConSReg. Beyond standard modeling, he blends multi-omics integration, graph neural networks, and sequence-to-function transformers to move discoveries toward therapeutic hypotheses, including tools applied to idiopathic pulmonary fibrosis. He maintains an active online presence with code and project documentation, signaling a commitment to reproducible, production-ready computational biology.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Genetics Bioinformatics and Computational Biology, Doctor of Philosophy (Ph.D.) Genetics Bioinformatics and Computational Biology at Virginia TechMaster’s Degree Bioinformatics, Master’s Degree Bioinformatics at Jobs and careers
Github Skills (19)
bioinformatics5
biology4
python3
single-cell-analysis3
seq3
autoencoder2
denoising2
single-cell-genomics2
visualization2
shiny1
machine-learning1
inference1
networking1
datasets1
pytorch1
Programming languages (6)
Github contributions (5)
alexQiSong/alexQiSong.github.io
Jan 2018 - Dec 2018
My personal blog. Please visit https://alexqisong.github.io/
Contributions:13 PRs, 284 pushes, 1 branch in 11 months
visitmy-personal-blog
LiLabAtVT/ConSReg
Oct 2018 - Aug 2022
Condition Specific Regulatory Network Analysis
Contributions:2 releases, 46 commits, 55 pushes in 3 years 10 months
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