G-Research 2025 PhD prize winners: SOCINT

28 January 2026

News
Quantitative research

Through G-Research NextGen, we run a number of PhD prizes each year in mathematics and data science with academic institutions across the UK, Europe and beyond.

Each prize is worth up to £10,000 and is open to final or penultimate year PhD students at specific universities, working across areas including Machine Learning, Quantitative Finance and Mathematics.

We’re pleased to announce the winners of the final prize of 2025 – the third edition of this award run in conjunction with Società Italiana di Intelligence (SOCINT).

Learn more about our prizes

Marco Bagnara

“I am currently a Research Associate in Analysis of Partial Differential Equations at Imperial College London. My research focuses on fluid dynamics and magnetohydrodynamics equations, approached through the lens of mathematical and stochastic analysis.

“Previously, I completed a PhD in Mathematics at the Scuola Normale Superiore in Pisa. In my thesis, I studied two phenomena arising in stochastic fluid dynamics models.

“The first, called anomalous regularisation, concerns an unexpected gain of regularity for quantities advected by extremely rough and turbulent fluid velocities.

“The second, known as blow-up prevention by noise, describes a stabilising effect induced by strong stochastic forcing in three-dimensional fluid models.”

Federico Barbero

“I am interested in the theoretical foundations of Transformer training, focusing on long-context generalisation and length extrapolation.

“My work investigates how models learn to generalise algorithmic patterns to larger contexts and how to resolve failure modes that happen at the representational level.

“Alongside the theoretical work, I focus on the practical engineering required to deploy these improvements at frontier scales.”

Saverio Palazzi

“I currently work in the field of statistical mechanics of disordered systems.

“My research focuses on spin glasses and complex systems, both from a theoretical and conceptual perspective, while also exploring their diverse real-world applications.”