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.
July grant winners
Farah Comis (University College London)
“I am honoured to have received the G-Research grant to support my research. I am a PhD student at UCL working on the demonstration of high-speed, energy-efficient optical communication devices using lithium niobate on insulator (LNOI) photonic integrated circuits.
“The G-Research grant will enable me to realise these devices, which could revolutionise data centres and AI-driven applications by significantly reducing energy consumption and latency. This work aims to drive innovation in fields requiring low-latency, high-speed communication, such as algorithmic trading, autonomous vehicles and manufacturing.”
Philipp Jettkant (Imperial College London)
“I am a Chapman Fellow in Mathematics at Imperial College London. In my research, I study financial problems through the lens of probability theory and stochastic analysis.
“The G-Research grant enabled me to attend the 12th Bachelier World Congress in Rio de Janeiro in July of 2024. At the congress, I presented my work on optimal government interventions in financial markets and had a chance to meet my colleagues from all over the world. I am grateful for the generous support that G-Research has provided me with.”
Guillaume Staerman (Inria De Saclay)
“I am a second-year postdoctoral researcher in the MIND team at INRIA Saclay, France. I aim to develop algorithms to characterize patterns or detect anomalies in time series based on tools such as point processes or convolutional dictionary learning.
“I am deeply grateful to G-Research for their support, which will cover my expenses as a visiting researcher at the Institute of Statistical Mathematics (ISM) in Tokyo, working with Prof. Tomoko Matsui.”
Congratulations to all of our grant winners.
