I am a PhD student and Teaching Scholar in the Adaptive and Intelligent Robotics Lab in the Department of Computing, at Imperial College London, working under the supervision of Dr Antoine Cully.

As a PhD student, my research focuses on Quality-Diversity algorithms, in particular applied to Uncertain environments, as well as Deep Reinforcement Learning and synergies between these two types of learning algorithms.

To know more about what I mean by Uncertain domains, check our IEEE Transactions on Evolutionary Computation paper introducing Uncertain Quality-Diversity.

I am also part-time working as a Teaching Scholar in the Department of Computing, spending 1/3 of my time on teaching activities in parallel to my research. In 2023, I also did a one-year interruption of study, working as a Research Assistant on the DARPA’s Learning Introspective Control robotics project, jointly with Peraton and Princeton University.

In parallel to my study, I am part of the organising committee of the Imperial College Autonomous Reasoning and Learning (ICARL) seminars. I am also organising the Deep Reinforcement Learning Reading Group within Imperial College, and I am involved in some other activities of the Computation Research Society.