Mingxuan (Adrian) Cao
RSS FeedPhD student in Data Science @ UChicago DSI and Research Aide @ Argonne National Laboratory. I work at the interface of AI & statistics—focusing on diffusion/SDE models, inference-time guidance, and reinforcement learning for purposeful generation. Current applications span protein/molecular design, functional genomics, and materials—with interpretable AI-for-Biology as a throughline.
Before UChicago, I completed my undergraduate and master's degrees in 4 years with highest distinction at WashU. Go Bears! 🐻
News
- My first paper, "Monte Carlo Tree Diffusion with Multiple Experts for Protein Design" (MCTD-ME), has been accepted as a poster at MLCB 2026! It was previously presented at the NeurIPS 2025 Workshop on AI for Virtual Cells and Instruments, where it sparked a lot of great discussion. 🎉
- Adrian’s site is available now! 🎉