I am a Postdoctoral Researcher in the ProrokLab at the University of Cambridge, Department of Computer Science and Technology, where I work on learning heterogeneous behaviour in multi-agent settings. I have also recently started as a PostDoctoral By-Fellow at Churchill College.

Before this, I completed my PhD in the Adaptive and Intelligent Robotics Lab at Imperial College London, Department of Computing. My PhD research focused on Quality-Diversity algorithms, particularly in uncertain environments, as well as Deep Reinforcement Learning and how these two approaches can complement each other. If you are interested in what I mean by uncertain environments, you can have a look at our GECCO 2025 paper, Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains. It summarises this part of my PhD research and was awarded Best Paper Award!

Alongside my PhD, I worked part-time as a Teaching Scholar in the Department of Computing at Imperial, spending about one third of my time on teaching activities in parallel with my research. I was also part of the organising committee for the Imperial College Autonomous Reasoning and Learning (ICARL) seminars. In 2023, I also interrupted my PhD studies for one year to work as a Research Assistant on DARPA’s Learning Introspective Control (LINC) robotics project, in collaboration with Peraton and Princeton University.