I work with Julius Adebayo at Guide Labs redesigning LLMs to learn to output which training data they are using every time they make a prediction (blog).

I’m also a PhD student at Harvard, supervised by Hima Lakkaraju. We recently worked on efficient data attribution techniques and faithful reasoning in LLMs. I previously worked within JPMorgan AI Research under the direction of Daniele Magazzeni and Saumitra Mishra, where I researched new global counterfactual explanation methods. Before that, I graduated the Cambridge MEng, where I was supervised by Adrian Weller and Umang Bhatt. My research centered around providing meaningful explanations for uncertainty estimates from probabilistic models.

Outside of work I’ve been a regular footballer, played for the University of Cambridge Blues, coached the Corpus Christi College team, and currently compete for MIT FC in the BSSL.

Download my CV for further details.