The Paton Research Group
Computational Organic Chemistry
The Paton lab conducts research at the intersection of computational chemistry, organic chemistry, and machine learning. Our goal is to transform chemical discovery through computational prediction of reactivity, selectivity, and molecular properties. We develop open-source software, automated workflows, and AI-driven models to decode reaction mechanisms and guide catalyst design, working in close collaboration with experimental groups to validate predictions and accelerate the development of new synthetic transformations.






