About

I am a PhD student at The University of Manchester in Computer Science (with a heavy focus on Statistics), supervised by Prof. Samuel Kaski and Dr. Sabina Sloman. I am also a student on the ELLIS PhD programme, where my co-supervisor is Prof. Frans A. Oliehoek at TU Delft. I work on sequential decision making under uncertainty; in particular, Bayesian experimental design and reinforcement learning. My focus is on building generalisable frameworks that are both scalable and robust to inaccurate statistical modelling, both of which are important for real-world deployment of these methods.

My interests broadly cover the fields of statistics and machine learning. I have slightly lighter interests in the wider area of the mathematical sciences, having previously worked on probability and network science (applied to biology). During my time in education, I have also worked on natural language processing and computer vision, and you can find examples of some of the projects I have worked on through my GitHub page.

Before embarking on my PhD, I studied a Master’s degree in Artificial Intelligence at City St George’s, University of London and a Bachelor’s degree in Mathematics at Queen Mary University of London.