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G-Research March 2023 grant winners

4 April 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.

March grant winners

Yoann Launay (University of Cambridge)

“I am a PhD student at the Hawking Centre for Theoretical Cosmology, in the Department of Applied Mathematics and Theoretical Physics, at the University of Cambridge.

“I work on the cosmology of the early universe, which means finding the best mathematical description of the first infinitesimal instants of the universe, considering it as a dynamic system, and assessing the predictions of this model against real astrophysical data.

“My goal is to make predictions about the future of quantum perturbations from an Inflation model by using a numerical simulation of gravity, an unprecedented method. My project comes with intensive numerical simulations, data set processing and even video-rendering for public science purposes; the G-Research grant will allow me to buy a professional laptop to take my research from abstract equations to concrete realisations.”

Aleksandar Arandjelovic (TU Wien and Macquarie University)

“I am a PhD student jointly between TU Wien and Macquarie University. My research focuses on mathematical foundation of deep learning for quantitative finance. I work at the intersection of probability theory and machine learning with a current focus on variance reduction methods for option pricing, intractable stochastic control problems, as well as hedging and portfolio optimisation under price impact.

“The G-Research grant will support me in presenting my work at international conferences in the US and UK.”

Federico Barbero (University of Oxford)

“I am a PhD student at the University of Oxford working on Geometric Deep Learning — a modern approach to machine learning that proposes to study deep learning models from first principles of symmetry and invariance. I am currently particularly interested in the interplay between Graph Neural Networks, Transformers, Graph Theory, and Geometry.

“I also help with the teaching of a graduate course on Geometric Deep Learning at Oxford and produce content on YouTube on some of the covered topics.

“The generous early career grant from G-Research will help me attend academic conferences and allow me to purchase better equipment to produce higher quality educational videos.”

Ellen Jolley (UCL)

“I am a final year PhD student in Mathematics at UCL, under the supervision of Professor Frank T Smith FRS.

“My work has focused on mathematical modelling of fluid-particle interactions, particularly applied to aircraft icing, and has been undertaken in partnership with AeroTex UK, an engineering consultancy firm with worldwide expertise on icing.

“The G-Research grant will enable me to attend the International Congress on Industrial and Applied Mathematics (ICIAM) in Tokyo, one of the largest international conferences on applied mathematics.

“The grant will also allow me to present my recent advances on mathematical models of aircraft icing, and possible extensions of my models to solid bodies in blood flow, with applications such as drug delivery.”

Tobias Wand (University of Münster)

“My research is focused on the field of Econophysics, which uses insights, techniques and methodologies from theoretical physics on socio-economic data to analyse such systems.

“The main topic of my PhD thesis is the analysis of financial time series. My first project about this was a combination of physicists’ knowledge about random matrix theory and the explanatory power of Explainable AI (XAI), to better understand different states of the S&P 500 market.

“The G-Research grant allows me to visit the Econophysics Colloquium in Italy, to discuss my ideas with the leading researchers and pioneers of this young, interdisciplinary field and to learn from their expertise.”

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

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