Chemical Machine Learning
Predicting chemical outcomes
Our research group primarily focuses on applying machine learning to address chemical problems, including outcome and property prediction, as well as chemical space exploration.
We collaborate closely with experimental groups to accelerate chemical discovery through modern data-driven strategies. Key areas of focus include catalysis, organic synthesis and photochemistry.