Charlie Hepburn
Summary
I am a first-year PhD student at the MathSys CDT. My research interests are in machine learning and statistics. My current research is in offline deep reinforcement learning; inferring an optimal decision-making policy from a fixed dataset. This is useful in the real-world where collecting new data can be time-consuming, expensive or even dangerous.
Education
2021 - Present: PhD | University of Warwick
Supervised by Prof. Giovanni Montana.
2020 - 2021: MSc in Mathematics of Systems (Distinction) | University of Warwick
Individual Project: A Critical Analysis of Selected Offline Reinforcement Learning Algorithms. Supervised by: Prof. Giovanni Montana.
Group Project: Modelling substantia-nigra neurons to quantify the effects of alpha-synuclein in Parkinson’s disease.
2016 - 2020: MMath Mathematics (First Class Hons.) | University of Edinburgh
Dissertation: Randomized Iterative Methods for Linear Systems. Supervised by Dr. Aretha Teckentrup.
Group Project: Approximate Bayesian Computation.
