I am a Ph.D. student in Computational Biology and Bioinformatics at Yale University, advised by Dr. Qingyu Chen. I also work with Dr. Carlos Oliver at Vanderbilt's Center for AI in Protein Dynamics.
I am building AI scientists for biology and medicine: agents that run the research loop themselves and improve along the way through recursive self-improvement (RSI). I also build bio foundation models for proteins and RNA, which give these AI scientists both biological knowledge and powerful tools to work with.
Before Yale, I earned an M.S. in Computer Science from Vanderbilt University, where I worked with Dr. Tyler Derr and Dr. Jens Meiler on data-centric machine learning for drug discovery, and a B.S. in Statistics and Data Science from UC Santa Barbara, where I worked with Dr. Eleanor Caves on computer vision for biological image analysis.
I'm looking for research internships for Summer 2027.
Featured Work
News
-
BioBlobs: Unsupervised Discovery of Functional Substructures accepted at NeurIPS 2026.
-
Gave a contributed talk on Benchmarking AI Agents for Addressing Scientific Challenges Across Scales at the AI Scientist Summer Workshop (Microsoft Research New England).
-
Scaffold-Aware Generative Augmentation and Reranking for Enhanced Virtual Screening accepted at SDM 2026.
-
Released Benchmarking AI Agents for Addressing Scientific Challenges Across Scales (co-first author) and AI Scientists in Health: Trustworthy Agentic AI for Scientific Inquiry.
-
Started my Ph.D. in Computational Biology & Bioinformatics at Yale University.
-
Presented WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking at the NeurIPS 2024 Datasets and Benchmarks Track.
Selected Publications
AI Scientists in Health: Trustworthy Agentic AI for Scientific Inquiry
Submitted to Nature Biomedical Engineering, 2026
Talks
- Benchmarking AI Agents for Addressing Scientific Challenges Across Scales