Hi! I’m Samuel. I am a Ph.D. student at the RLAI Lab, supervised by Rupam Mahmood and affiliated with Amii. Previously, I graduated with a MSc in Machine Learning at University College London (UCL), and completed my undergraduate degree at Imperial College London. I am interested in creating decision-making systems that can learn continually. In particular, I am curious about studying these under a RL framework, as well as through improvements in current neural network architectures.
Ph.D. in Computer Science, 2025-2030
University of Alberta
MSc in Machine Learning, 2023 - 2024
University College London
MEng in Computational Bioengineering, 2019 - 2023
Imperial College London
Investigated the use of diffusion models for Inverse Reinforcement Learning, in Ilija Bogunovic’s Group.
Undergraduate Thesis on creating a computationally efficient algorithm to predict eczema severity. Worked on it as part of my Thesis (October 2022 - June 2023), and as an Intern Research Assistant (June 2023 - September 2023). Work done at the Tanaka Group, and in collaboration with Dr Rob Moss of the University of Melbourne.
Worked for 10 weeks as a Software Engineer in the Technology division of Goldman Sachs.
Score: 338/340.