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.
Learn more about our grant programme, including how you can apply and the work we support.
Read on to hear from our latest winners, their research and how our grants will aid their work.
March grant winners
Simone Baldassarri (Universita Degli Studi Firenze)
“My research focuses on the metastable behavior of discrete systems and on the study of dynamic processes on dynamic random graphs.
“I am broadly interested in the analysis of interacting particle systems and their applications to mathematical physics and sociology.
“G-Research’s grant will enable me to work in close collaboration with colleagues in Italy and France, and to attend international conferences where I can present my research.”
Oscar Davis (University of Oxford)
“My research interests mostly revolve around theoretical Deep Learning, for instance using modern mathematical tools, such as differential geometry.
“I am also part of the CETI project which attempts to establish inter-species communication, which is more applied and quite exciting!
“This grant will allow me to get started producing some educational content for Machine Learning, and start a platform for philosophical discussions which is another interest of mine.”
Emmeran Johnson (Imperial College London)
“I am a PhD student at Imperial College London working on theoretical problems in reinforcement learning and online learning, often with a focus on dimension dependence.
“This grant will allow me to attend the International Conference on Learning Representations (ICLR) in Vienna (May 2024) where I will present my work on the necessity for dimension dependent adaptivity for sample-efficient reinforcement learning – thank you very much to G-Research!”
Petr Kouba (Czech Technical University and Masaryk University)
“I am a PhD candidate specializing in Machine Learning for Protein Science, with my studies conducted jointly at Czech Technical University in Prague and Masaryk University in Brno, Czech Republic.
“The G-Research grant will support me and my family during a research stay at Stanford University, where I will be working on the development of a deep learning method for protein design.”
Alicja Polanska (University College London)
“I am a PhD student at UCL researching AI for Astrophysics and beyond. In my current project, I’m working on using normalizing flows for Bayesian model comparison.
“The generous grant from G-Research will help me fund a visit to the Flatiron Institute Center for Computational Astrophysics in New York to further develop and apply this work.”
Dimitris Kelesis (National Technical University of Athens)
“My research interests lie at the intersection of Graph Neural Networks (GNNs), Graph Theory, and Representational Learning.
“G-Research’s grant will enable my participation in the LOGML 2024 summer school in London. This opportunity will allow me to engage with researchers in the field, fostering collaboration and knowledge exchange.”
Álvaro Muniz Brea (University of Edinburgh)
“I am a third-year mathematics PhD student at the University of Edinburgh, where I research on Lagrangian cobordisms.
“I will use the G-Research grant to attend the London Geometry and Machine Learning summer school. In the summer school I hope to learn how geometry can be used to formalise and aid machine learning techniques and, conversely, how machine learning can be used to help solve geometric problems. During the event I will research on applications of genetic algorithms to produce new Calabi-Yau manifolds, in particular those that can give rise to the physics of the Standard Model.”
Congratulations to our grant winners.
