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 AI Safety and Alignment. His most recent work focuses on understanding and mitigating the risks of increasing agency (i.e., the ability to pursue goals and take actions in an environment) in capable AI systems.