Every year, G-Research runs a number of different PhD prizes in Maths and Data Science at universities in the UK, Europe and beyond.
Each prize is worth up to £10,000 and is open to final or penultimate year PhD students at specific universities, working across areas including Machine Learning, Quantitative Finance and Mathematics.
We’re pleased to announce the winners of the first prize of this year, run in conjunction with ETH Zurich.
“My research focuses on stochastic analysis and optimisation in dynamic settings.
“A large part of my work is devoted to robustness in dynamic stochastic modeling. Our models rarely match reality perfectly. Can we be confident that decisions based on these models remain accurate? The ultimate goal is to develop a framework that quantifies how sensitive our inferences are to small deviations from a reference mathematical model.
“I am particularly interested in understanding the geometry and the differential structure of the underlying space and aspects of duality theory, among others.
“In addition, my research has focused on relaxing optimal control problems in continuous time to establish the existence of optimal solutions in degenerate cases or under imposed constraints. These problems are mostly motivated by certain prominent models in economics, which often tend to be ill-posed.”
“I am a fourth-year PhD student in Computer Science at ETH Zürich, co-supervised by Prof. Andreas Krause and Prof. Stelian Coros.
“My research lies at the intersection of reinforcement learning (RL), theory and robotics, with the goal of enabling agents that learn safely and efficiently in the real world.
“I develop algorithms that bridge the gap between theory and practice, spanning topics such as model-based RL, safe RL, non-episodic RL and meta-RL. I have also explored the use of RL for fine-tuning large language and robotic foundation models to master real-world applications.”
