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G-Research January 2026 grant winners

16 February 2026
  • 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.

January grant winners

Manuel Lecha (University of Oxford)

“I’m an ELLIS PhD student with a background in mathematics and computer science.

“My current focus is developing graph foundation models that generalise across heterogeneous graph data and tasks.

“The G-Research grant will support my research stay at the University of Oxford, facilitating in-person collaboration there.”

Lancelot Da Costa (ELLIS Institute Tübingen)

“I am a mathematician developing foundations for understanding and building intelligence.

“My work has formalised a key theory of brain function and I now use these ideas to develop AI agents that learn like scientists.

“The G-Research grant will allow me to present my latest work, Natural Building Blocks for Structured World Models, at the World Modeling Workshop in Montreal and upcoming work at ICML in Seoul.”

Konstantin Riedl (University of Oxford)

“I am a Postdoctoral Research Associate in Deep Learning at the Mathematical Institute of the University of Oxford, and a Research Fellow in Artificial Intelligence & Machine Learning at Reuben College.

“My research interests lie in applied mathematics, specifically machine learning, optimisation, scientific computing and their interfaces. I focus on the design and the mathematical and numerical analysis of algorithms and methods used in these areas.

“My long-term aim is to advance our mathematical understanding of machine learning methods and models by developing rigorous mathematical analysis frameworks for the training algorithms and the neural network models used in several important areas of machine learning.

“The G-Research grant will allow me to organise the 2nd edition of the “Workshop on the Mathematics of Transformers” at the University of Oxford. The workshop will focus on the transformer architecture and its underlying (self-)attention mechanisms that gained substantial interest in recent years.”

Congratulations to all of our grant winners.

Learn more about our monthly grant terms and conditions.

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Since 2021 we have helped more than 150 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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