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Charlie Hepburn


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.


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.


Office: D2.11, Zeeman Building

LinkedIn: Charlie Hepburn