Kyle Swanson
Founding Scientist at Stealth AI Startup
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKyle Swanson is a founding scientist and Stanford PhD candidate who specializes in applying generative AI to drug discovery and biomedicine, with 11 years of experience bridging academic research and industry. He has led ML efforts at Merck and Greenstone Biosciences, and now helps launch a stealth AI startup, applying generative models directly into internal drug discovery pipelines. His work builds on deep research stints at MIT CSAIL and collaborations with leaders like James Zou, Regina Barzilay, and Tommi Jaakkola, combining graph neural networks, molecular prediction, and NLP interpretability. Trained across top programs in computer science, mathematics, and biotechnology, he brings a rare interdisciplinary fluency that accelerates translation from models to experimental insights. An underrated thread in his background is hands-on pedagogy and product work—from teaching ML abroad to shipping production models at ASAPP—so he navigates both research rigor and deployable engineering.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Biotechnology, Master of Science - MS, Biotechnology at Imperial College LondonMaster of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Massachusetts Institute of TechnologyMaster of Science - MS, Mathematics, Master of Science - MS, Mathematics at University of CambridgeGPA: 4.25/4.33, GPA: 4.25/4.33 at Bronxville High SchoolDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
English
Github Skills (38)
molecule10
drug-discovery10
graph10
machine-learning10
tqdm10
chemistry10
parallel-processing10
message-passing10
deep-learning10
progress-bar10
argument-parsing10
prediction10
proteins10
parallel9
python9
Programming languages (5)
Github contributions (5)
wengong-jin/chemprop
Sep 2018 - Mar 2019
Chemical Property Prediction with Graph Convolutional Networks
Contributions:341 commits, 5 PRs, 300 pushes in 5 months
property-predictiongraph-convolutional-networkspredictiondeep-learningchemical
yangkevin2/coronavirus_data
Mar 2020 - May 2020
Contributions:43 commits, 32 pushes, 3 comments in 1 month
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