Dr. Kexin Huang
AI Bio-Medicine Researcher
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Dr. Kexin Huang. Every entry undergoes editorial source verification.
A Foundation Model for Clinician-Centered Drug Repurposing with TxGNN
First author of the Nature Medicine 2024 paper introducing TxGNN, a geometric foundation model trained on a medical knowledge graph of 17,080 diseases to identify drug repurposing opportunities for rare diseases with clinician-interpretable rationales.
Predictions require in vitro wet-lab assay validation and clinical trials before therapeutic efficacy can be established.
Therapeutics Data Commons: Machine Learning Benchmarks for Drug Discovery
Co-founded and engineered Therapeutics Data Commons (TDC), the de-facto open-source Python library standardizing 66 therapeutic machine learning tasks across small molecules, antibodies, target proteins, and clinical outcomes.
Public biological datasets often carry historical batch effects that require careful domain covariate shift evaluation.