Skip to main content

G-Research February 2023 grant winners

8 March 2023
  • Quantitative Research

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.

February grant winners

Rowan Hall Maudslay (University of Cambridge)

“I am a PhD student at the University of Cambridge, and a Bye-Fellow of Magdalene College. My research concerns people’s ability to perceive abstract similarities shared by disparate things, which manifests in analogy and metaphor, and is of central importance for generalisation in AI.

“The grant will allow me to purchase new computational resources which will make this research possible.”

Ryan Parker (University of Cambridge)

“The generosity of G-Research’s grant has given me the opportunity to expand my research scope and investigate climate-science and public-policy from a data-driven perspective.

“Specifically, this grant will fund the development of a CO2 sequestration surveillance and pricing algorithm. This is important as many developed, resource-rich nations, currently have a tax offset scheme whereby a large CO2 emitter is able to gain a tax exemption for sequestering carbon; typically through the acquisition of land and subsequent growth of biomass on that land.

“My algorithm will take satellite imagery and correlate it to datasets measuring the carbon-content sequestered in above-ground and below-ground biomass, using deep convolutional neural networks. This will enable CO2 sequestration potential to be built into property prices, increase the rigour of CO2 emissions reporting, stymie ‘green-washing’ and tax-evasion through surveillance, and ultimately add more transparency to the CO2 pricing market.

“Eventually, this tool will then be presented at the International Carbon Capture & Sequestration Conference 2023 to help further facilitate these goals.”

Clara Guijarro Calvo (Turing Centre of Living Organisms in Marseille)

“I am a PhD student in Biology and Computer Science at the Turing Centre of Living Organisms in Marseille.

“I am interested in how organs acquire their shape and my PhD project aims to understand how the cardiac progenitor cells build the heart during embryonic development. This question is crucial to understand the origin of each tissue in the adult stage, better predict their evolution over time, and understand the emergence of Congenital Heart Diseases.

“The G-Research grant will support me to enrol on advanced courses on machine learning and data visualisation, to finish scrutinising the cardiac progenitor population and strengthen my skills in this area.”

Jill Emmerzaal (Université de Montréal)

“Over the past few years, I’ve been researching the development of a smartphone app that provides personal feedback on joint loading for people with hip and knee osteoarthritis at KU Leuven, Belgium, where I currently reside.

“This year, I’ll be using that knowledge in a research project on context-specific feedback for people with knee problems; using wearable sensor technology, complex non-linear mathematics, and machine learning. This exciting project is a collaboration between Luxembourg and Montreal.

“This grant from G-Research will allow me to act as the physical link between these two universities while also taking care of my family in Leuven.”

Congratulations to our grant winners.

Learn more about our monthly grant and how you can apply.

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

Latest News

The Tyranny of Tech Debt
  • 28 Apr 2025

Hear from our Head of Forecasting Engineering on why the term "tech debt" has outlived its usefulness. In this blog, he explores why we should move away from generic labels and instead ask more precise, value-driven questions that lead to meaningful improvements in engineering and business outcomes.

Read article
G-Research March 2025 Grant Winners
  • 22 Apr 2025

Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Hear from our March grant winners.

Read article
Invisible Work of OpenStack: Eventlet Migration
  • 25 Mar 2025

Hear from Jay, an Open Source Software Engineer, on tackling technical debt in OpenStack. As technology evolves, outdated code becomes inefficient and harder to maintain. Jay highlights the importance of refactoring legacy systems to keep open-source projects sustainable and future-proof.

Read article

Stay up to date with
G-Research