About

I am a PhD Computing Research Student (started April 2022) at the Department of Computing of Imperial College London, supervised by Professor Francesca Toni and Dr Francesco Leofante, funded by the Interactive Explainable AI project. I’m also a TA at the Department of Computing and Imperial College Business School, helping with several AI / ML and programming courses. From June to December 2024, I’m working as an AI Research Intern at the Explainable AI Center of Excellence of J.P. Morgan AI Research.

My research interest spans the spectrum of AI trustworthiness, including its explainability, robustness, fairness, privacy, etc. I’m focusing on counterfactual explanations (algorithmic recourse), robustness of explanations, and predictive multiplicity. Other projects I’m working on include explainability for graph neural networks and deep learning for Formula 1 race strategy.

Previously, I completed my MSc Computing degree from Imperial in 2021. I received two BEng degrees (2020) from the University of Edinburgh and South China University of Technology.

Research

*equal contributions