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.
August grant winners
Chiara D’Ercoli (Sapienza University of Rome and the University of Cambridge)
“I am a PhD student at Sapienza University of Rome and the University of Cambridge, focusing on machine learning for complex biological systems modelling.
“My research interests lie in learning low-dimensional representations of molecular phenotypes and modelling their interactions through graphs and dynamical systems.
“I am particularly interested in both data-driven and mechanistic approaches, to combine machine learning with ordinary differential equation models to understand disease processes and potentially predict their evolution.
“The G-Research award will support my research in Cambridge, where I will build on existing collaborations from my previous stays . I am extremely grateful for this opportunity.”
Ferran Hernandez Caralt (University of Cambridge)
“I am a PhD student at the University of Cambridge.
“I work on the theoretical foundations of Deep Learning on Graphs, focusing on Message Passing Neural Networks (MPNNs), their fundamental limitations and their higher-order variants.”
Shanzi Bao (University of Cambridge)
“My research focuses on uncertainty and interpretability in modern machine learning models.
“My recent work investigates how predictive entropy evolves across graph neural network layers and whether it can distinguish different failure modes.
“The G-Research grant will support me in attending Learning on Graphs 2026 to present this work.”
Congratulations to all of our grant winners.
