Every year, G-Research runs a number of PhD prizes in Maths and Data Science with academic institutions 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 our first prize of 2025, which ran in conjunction with the University of Cambridge.
Learn more about our prizes“I am a final-year PhD student at the Statistical Laboratory at the University of Cambridge.
“My current research interests revolve around developing and analysing methodology for conducting inference in assumption-lean and distribution-free settings.
“In particular, I have been working on different aspects of a problem called “subgroup selection” in which one aims to efficiently identify regions of a data domain exhibiting a pre-specified property of interest.
“A key application of such a method can be found in personalised medicine, where it’s of interest to identify the subset of a patient population for whom a novel drug should be expected to be efficacious.”
“My scientific interest is in the field of machine learning. I am particularly interested in uncovering the underlying principles, other than statistical associations. Causality offers a principled mathematical approach for deducing the underlying processes responsible for observable statistical patterns, which provides scientific understanding, controllability and progress.
“Current large-scale machine learning models, however, only exploit the statistical regularities without much understanding of the causal mechanisms generating the statistical phenomenon.
“Thus, I am interested in building a causal reasoning machine that is capable of transparent, adaptable and controllable predictions, ultimately empowering scientific discovery across diverse fields.”
“I am a final-year PhD student in the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge.
“My research focuses on the intersection of information theory, Bayesian inference and Causal inference. In information theory, I am particularly interested in deriving sharp non-asymptotic bounds on the probability of error in data transmission, with the aim of providing practitioners with rigorous insights into the fundamental limits of reliable communication.
“In the context of Causal inference, I study convergence properties of Bayesian causal discovery methods and work on developing practical metrics for evaluating the accuracy of causal predictions.”
There was a very strong field this year. Several of the submitted papers (not only of the prize winners) are likely to have major impact on their respective fields. It was a pleasure to read them.
Every year, G-Research runs a number of different PhD prizes in Maths and Data Science at universities in the UK, Europe and beyond. We're pleased to announce the winners of this prize, run in conjunction with the University of Oxford.
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Every year, G-Research runs a number of different PhD prizes in Maths and Data Science at universities in the UK, Europe and beyond. We're pleased to announce the winners of this prize, run in conjunction with the University of Cambridge.
Read article
Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Hear from our April grant winners.
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