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.
June grant winners
Ben Boyd (University of Cambridge)
“I am a PhD student at the University of Cambridge where my research lies at the intersection of astrophysics and machine learning.
“Thanks to G-Research’s generous support I can showcase my work at the International Conference on Machine Learning (ICML) AI for Science workshop in Vienna, where my draft paper has been accepted. I am thrilled with the opportunity to share my work with researchers that are just as passionate as me about applying state-of-the-art machine learning methods to science.”
Yixuan He (University of Oxford)
“I am a final-year PhD student from the Department of Statistics in University of Oxford. My general research interest lies in the field of graph neural networks.
“I am very grateful to receive this G-Research grant which will support my attendance at ICML 2024 in Vienna, where I will present our research on generalization errors in graph neural networks.”
Alicja Ziarko (University of Warsaw and Ideas NCBR)
“I am a PhD student in Machine Learning at the University of Warsaw and Ideas NCBR.
“I’m interested in solving sequential problems using neural networks. This grant from G-Research will enable me to present my latest paper on how to fine-tune pretrained decoder models in order to obtain good quality embedding models at the NGSM workshop at the ICML conference.”
Hunar Batra (University of Oxford)
“I’m a first-year DPhil Computer Science student at the University of Oxford, working on Large Vision Language Models (LVLMs) safety and improved multimodal feature alignment, including adversarial robustness, uncertainty quantification, reasoning and interpretability with the Perceptual Intelligence and Extended Reality Lab under Prof. Ronald Clark.
“This grant from G-Research will allow me to travel to the 41st International Conference on Machine Learning (ICML) in Vienna, Austria, to present my first-author accepted paper, “EVCL: Elastic Variational Continual Learning with Weight Consolidation”, at the Structured Probabilistic Inference & Generative Modelling workshop. This work lays a foundation for developing more robust and reliable AI systems that can continuously learn and adapt in dynamic, real-world continual learning settings, whilst having probabilistic guarantees with the integration of variational posterior approximation and a parameter protection strategy.”
Anastasia Istratuca (University of Edinburgh and Heriot-Watt University)
“My research interests lie at the interface between numerical analysis and statistics. I am working on uncertainty quantification, more specifically, on multilevel Monte Carlo methods with applications in differential equation models with random coefficients.
“The G-Research grant will allow me to attend the Young Applied Mathematicians Conference. This is not only a great opportunity to disseminate my work, but also a platform to promote Piscopia, an international network connecting women and underrepresented genders in Mathematics and related disciplines, and its upcoming conference PiFORUM.”
Kathryn Bowers (University of Cambridge)
“I am a PhD student in Biostatistics, specialising in infectious disease modelling. My current research looks at designing stochastic models to enhance early-stage disease transmission prediction.
“I am delighted to receive this G-Research grant, which will support my research and enable me to collaborate with colleagues at Durham University. This grant not only provides the financial resources necessary for this collaboration but will also contribute to research in pandemic preparedness and response. I am deeply grateful to G-Research for their support.”
Congratulations to all of our grant winners.
