PhD Doctoral Scholar in Computer Science at Imperial College London


Huxley BuildingDepartment of ComputingSouth Kensington CampusImperial College LondonSW7 2AZUnited Kingdom


ep1011 at ic dot ac dot uk

Current Research

I have a broad range of research interests, but I focus mostly on the following topics and their possible intersection:

I like to show how combinatorial objects and combinatorial structures, which typically appear in the pure mathematics realm, can be used to provide a theoretical background for topics of a practical nature; most notably, for group equivariant neural networks.

Academic Background

I am currently studying for a PhD in Computer Science at Imperial College London under the supervision of Professor William J. Knottenbelt, with an expected end date of March 2024. 

I was awarded a Doctoral Scholarship funded by the Department of Computing Applied Research scheme in 2020. Recently I was awarded one of the G-Research Imperial College London PhD Prizes.

I was awarded a Distinction in an MSc degree in Computing Science at Imperial College London in 2020.

I finished top of my year in an MSci degree in Mathematics at Imperial College London in 2015.

Industry Background

In 2023, I undertook a summer internship at Riverlane, Cambridge, as a Quantum Scientist in their Fault-Tolerance division. I worked on solving design and decoding problems in quantum error correction.

Prior to this, my most recent experience in industry was with BlueCrest Capital Management, a Global Macro Hedge Fund, where I was a Risk Analyst. I was also a Trading Assistant for a Jersey-based, Systematic, G10 Rates Portfolio at BlueCrest. 

I have passed CFA Levels I, II, and III at the first attempt and in the shortest time possible (18 months).