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G-Research June 2025 grant winners

29 July 2025
  • News

Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines.

Our aim is to support and assist PhD students and postdocs conducting research, particularly with costs that may be difficult to get funding for elsewhere, for example, travel for those who are caring for children, or expenses for volunteer work related to research.

Read on to hear from our latest winners, their research and how our grants will aid their work.

June grant winners

Ben Riegler (Technical University Berlin and University of Oxford)

“I am an ELLIS PhD student at the Technical University Munich and the University of Oxford. My research is on data efficient Bayesian methods and AI for Science.

“In particular, I work on scaling Bayesian optimisation to large parallel processing facilities, aiming to speed up black-box optimisation. Additionally, inspired by my work with planetary physicists, I am exploring various approaches to simulation-based methods for Bayesian parameter inference in doubly-intractable problems.

“The G-Research grant allows me to present my paper “Rethinking Exploration In Asynchronous Bayesian Optimisation: Standard Acquisition Is All You Need” at EXAIT@ICML25.”

Gregor Steiner (University of Warwick)

“I am a PhD student in Statistics at the University of Warwick, where my research focuses on causal inference. Specifically, I am interested in instrumental variable regression for causal inference under unobserved confounding.

“The G-Research grant will generously support my research visit to Nanyang Technological University in Singapore and my participation in the CFE-CMStatistics 2025 conference. During my time in Singapore, I will explore causal inference through the lens of possibility theory.”

Tomáš Flidr (University of Cambridge)

“I am an undergraduate student at the University of Cambridge, primarily interested in pure mathematics.

“The G-Research grant will allow me to do a summer research project in combinatorics, focusing on the game of Cops and Robbers on graphs. This game is a part of a broader class of problems called Pursuit-evasion, which has a wide range of applications.”

Congratulations to all of our grant winners.

Learn more about our monthly grant terms and conditions.

Want to apply for next month's grant?

Since 2021 we have helped more than 100 students in their studies.

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Complete the form and attach your CV, along with a description of how you’d utilise the funding.

Hear from one of our previous winners

Neuros as one of the biggest and most renowned conferences is of course a great place, uh, to meet researchers, to, uh, network with companies and also to attend the talks and get to know the newest strengths, basically in ml. But for me personally, one main motivation is also paper, which I submitted and where I will be having an oral at, uh, a score based workshop on Friday. And I'm very excited about this research. So I am very excited about the, the workshops because you have like the basically sub communities focusing on specific topics and, uh, you get to know a lot of, uh, interesting researchers. You start collaborations. But I'm also very interested on attending the poster sessions because you get to speak to, uh, people directly to the authors of papers. Basically directly. I would've not been able to attend NIPS without the grant from G Research. So I'm very grateful to g Research for making this happen. And this helps me to present my research here, talk to people, and hopefully start new collaborations, um, which evolve from my previous research. Well, I've spoken to a couple of people from GE research at previous conferences, and I've also been, um, contacted by the recruitment team. Um, I'm already start, I already started the interviewing process. It's a very exciting journey. Um, and I think that they are problem, which they tackle, like predicting the future of the world and the financial markets is very interesting and I think or appreciate their approach of using recent technology in ML to tackle this problem.
Open video transcript

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