About Me
Hello and welcome to my website! I’m a second-year PhD student in the ML@CL group at the University of Cambridge, supervised by Professor Ferenc Huszár.
My research focuses on explaining emergent abilities of LLMs, such as in‑context learning and out‑of‑distribution generalisation, as well as related foundational questions in (algorithmic) information theory.
Previously, I did an MPhil in Machine Learning and Machine Intelligence in Cambridge, where I worked on PAC-Bayes and optimisation. Prior to that, I was an undergraduate in Mathematics at Imperial College London.
You can find my publications here or on my Google Scholar page.
Contact: sru23 [at] cam [dot] ac [dot] uk
Experience
October 2023 - Present, Cambridge, UK
PhD in Machine Learning, Department of Computer Science, University of Cambridge
Supervisor: Professor Ferenc Huszár
Topics: LLMs, deep learning theory, Bayesian inference, algorithmic information theory
April 2024 - June 2024, London, UK
Deep Tech Fellow, LakeStar Advisors LLP
Conducted a Deep Dive and provided investment advice in 'Next-generation deep learning architectures'.October 2022 - August 2023, Cambridge, UK
MPhil in Machine Learning and Machine Intelligence, University of Cambridge
Distinction, graduated 2nd in class
October 2019 - July 2022, London, UK
BSc Mathematics, Imperial College London
First Class Honours, scored in the top 5-10% in all years