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.
November grant winners
Mariia Sinkevich (University of Oxford)
“I am a postgraduate researcher in Mathematics, specialising in stochastic analysis, optimal transport and the theoretical foundations of AI, with a particular focus on mean-field theory.
“The G-Research NextGen Grant is enabling me to attend the Dolomites Winter School on Mean-Field Systems in Italy next January, where I will present my work on Entropic Optimal Transport and Martingale Schrödinger Bridges.
“This is a huge opportunity for me as an early-career researcher to connect with global experts, gain crucial technical insights and build collaborations that will directly shape my research. Thank you, G-Research, for the support!”
Alessio Borgi (Sapienza University of Rome and the University of Cambridge)
“I am a PhD student jointly at Sapienza University of Rome and the University of Cambridge, working at the intersection of graph neural networks and generative AI.
“My current research focuses on developing a specific optimisation of Sheaf Neural Networks, called Polynomial Sheaf Neural Diffusion models, which better capture complex relational structure in data, going beyond standard graphs.
“With this grant, I will extend these models to hypergraphs, transportation networks and split learning settings where data and computation are distributed across many clients.
“The funding will support me in Rome and Cambridge. I am very grateful to G-Research for this generous support and the opportunity to advance my research.”
Andrea Sainz Bear (University of Cambridge)
“I am a first-year PhD student at the University of Cambridge working on extremely low-dose CT reconstruction and medical imaging analysis.
“My research focuses on developing AI models that improve image quality when radiation doses are drastically reduced, aiming to enable safer and earlier diagnosis.
“The G-Research grant will allow me to attend the Retreat for Women in Applied Mathematics, a supportive meeting for early-career and senior women researchers.
“The workshops and networking opportunities are especially valuable at this early stage of my PhD, as I am currently self-funded and actively looking for long-term funding.
“Attending will help me build connections across applied mathematics and explore potential collaborations and support for my research.”
Francesco Capuano (University of Oxford)
“I am broadly interested in applications of ML to impactful, long-standing challenges such as science, as well as the development of systems capable of efficiently learning from interaction.
“In recent years, my interests gravitated towards robotics and the many challenges arising from this inherently multidisciplinary and complex domain. My research aims at developing the knowledge and tools to make robots learn better.
“This grant allowed me to attend NeurIPS2025, fulfilling my dream of traveling to the world’s leading ML conference to present my work as a first-generation graduate.”
Congratulations to all of our grant winners.
