Alexis Bellot

Research Scientist
Google DeepMind, London, UK

abellot [at] deepmind [dot] com

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My research spans algorithms, theory, and applications of machine learning and causal inference.

There is a subtle interplay between the data we observe and the underlying system we ultimately seek to model. The study of causality from data formalizes this connection, allowing us to reason about the effect of interventions and about counterfactuals. My goal is to develop this research agenda to improve decision-making with data and guarantee the safety and alignment of AI algorithms.

I maintain an overview of this research program and a list of technical open projects at the intersection of AI Safety and Causality. Feel free to reach out if you are interested in collaborating on these topics.

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