I’m a PhD student in the Department of Computing at Imperial College London. My research interests range from machine learning, quantitative analysis and reinforcement learning.

The Journey So Far

My education in a nutshell:

  • Between 2012 and 2016, I was a student at Pitsford School, completing my GCSEs in 2014, and A-Levels in 2016.

  • In 2016 I began an MEng in Electronic and Information Engineering at Imperial College London. I graduated in 2020 with First-class honours.

  • Since October 2020, I have been an ML PhD student at Imperial College.

Where I’ve worked

An overview of my work experience:

  • Internship at a Cybersecurity firm over summer in 2018. Here I worked on a number of projects, such as a secure communication application and aprorietary data viewer. I also picked up a bunch of key skills in penetration testing, reverse engineering and information extraction.

  • Internship at Credit Suisse in 2019 the following year where I worked on an AI assistant using Word2vec and Starspace for conversational AI.

  • Research internship at Infosys in their Infosys Tennis Plaform team in 2021 working in computer vision and imitation learning, with my work in the latter being presented at the 2023 Sloan Sports and Analytics Conference as a Research Paper Finalist.