Alexis Bellot is a research scientist at DeepMind in London, UK. He was previously a postdoctoral scholar at Columbia University sponsored by Professor Elias Bareinboim. Prior to Columbia, he graduated with a PhD in Applied Mathematics from the University of Cambridge under the supervision of Professor Mihaela van der Schaar. Alexis works on the study of causality from data and its applications, with an emphasis on methods and theory that combine causality and machine learning to both improve the robustness of machine learning algorithms, and improve causal discovery and causal inference methods.