Yanfei Guan

Cheminformatics Lead, AI ML Scientist

Cambridge, Massachusetts, United States
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Summary

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Rockstar
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Top School
Yanfei Guan is a cheminformatics lead and AI/ML scientist in Cambridge, MA with eight years of experience bridging computational chemistry and machine learning for drug discovery. She progressed from doctoral research and postdoctoral roles focused on automated workflows and molecular property prediction to senior R&D positions at Pfizer and now leads cheminformatics at Takeda, translating ML models into practical pharma discovery tools. Her background combines a PhD in Chemistry with applied mathematics from Shanghai Jiao Tong University, reflecting strong quantitative foundations alongside domain expertise in catalysis, synthesis prediction, and high-throughput computational pipelines. Notably, she has moved between academia and industry to operationalize research-grade algorithms at scale, making her especially skilled at turning complex quantum-chemical and ML methods into deployable discovery workflows.
code8 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy - PhD, Chemistry, Doctor of Philosophy - PhD, Chemistry at Texas A&M University
bookBachelor's degree, Chemistry & Applied Mathematics, Bachelor's degree, Chemistry & Applied Mathematics at Shanghai Jiao Tong University
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Github Skills (34)

drug-discovery10
predict10
machine-learning10
chemistry10
message-passing10
gaussian10
harmonic9
substitution9
temperature8
catalysis8
reactivity8
sampling8
density-functional-theory8
orca8
neural-network8

Programming languages (6)

TypeScriptShellJavaScriptPerlPythonFortran

Github contributions (5)

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Platforms to predict reactivity for substitution reactions.
Contributions:31 commits, 2 PRs, 17 pushes in 10 months
substitutionplatformsreactivitypredictreactions
Message Passing Neural Networks for Atomic/Bond Property Prediction
Contributions:58 commits, 51 pushes, 2 branches in 10 months
message-passingneural-network
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