This presentation will focus on how machine learning is assisting in solving process chemistry challenges. Multiple use-cases will be presented, along with an overview of emerging techniques. The target audience is generalist chemists who want to learn more about this emerging field.

1. An overview of data-driven modelling and prediction in chemistry
2. Applications of classical machine learning for reaction design
3. Reaction optimization using machine learning
4. Synthesis route prediction
5. Reaction condition prediction