Kristofer Reyes

Kristofer Reyes is an Associate Professor in the Department of Materials Design and Innovation at the University at Buffalo (School of Engineering and Applied Sciences). His research focuses on computational and statistical methods applied to materials science, particularly in developing machine learning frameworks for small-data regimes. He leads the Computational and Statistical Material Science (CSMS) Lab, which emphasizes Bayesian models, reinforcement learning, and fusion of physics-based knowledge.

Education:

• PhD in Applied and Interdisciplinary Mathematics, University of Michigan, 2013
• BS in Computer Science and Mathematics, Purdue University, 2004

Research Interests: Reyes' work bridges computation, mathematics, and materials science. Key areas include:
- Autonomous experimentation systems (e.g., self-driving fluidic labs)
- Bayesian optimization and decision-making under uncertainty
- Machine learning for nanomaterials synthesis (e.g., perovskite nanocrystals)
- Integration of physics-informed models in AI workflows
- High-cost experimental design optimization

Recent Achievements:

• SMARTDOPE paper awarded 'Best in Advanced 2023'
• Developed AlphaFlow for autonomous chemical synthesis
• Pioneered 'self-driving labs' for materials discovery

Labs & Teams: CSMS Lab (134 Bell Hall) focuses on problem-fluent models for materials research. Current projects include quantum circuit optimization, bio-chemical pathway modeling, and sustainable nanomanufacturing. Collaborates with industry and national labs on AI-driven materials development.