Student
Jeremy Worsfold

Jeremy graduated from the University of Manchester with an MPhys in Physics with Theoretical Physics in 2019.

Jeremy graduated from the University of Manchester with an MPhys in Physics with Theoretical Physics in 2019. During his Master’s project, in collaboration with Manchester City Football Club, he analysed real-time positional data of players to gain novel footballing insights; fostering his interest in big data and programming. He’s especially fascinated by probability theory, in particular random networks and graphs. Outside of his studies, Jeremy enjoys playing and watching football. He’s passionate about fighting climate change and has (for a reason unknown to himself) signed up for the Bath Half marathon.

Research project title:
Stochastic active flows

Supervisor(s):
Tim Rogers, Paul Milewski

Project description:
Mathematical models of fluids have been used very successfully to explain the behaviour of a wide range of systems beyond the liquid flows that inspired their initial development. For example, they have been used to describe the formation of traffic jams and the collective behaviour of large animal groups. However, these models typically take a purely macroscopic approach to explain these phenomena. This class of PDE-based models does not capture the of noise-induced fluctuations arising from finite size effects in ‘fluids’ composed of discrete moving agents. Jeremy’s research seeks to explicitly link microscopic simulation-based models of interacting agents with macroscopic fluid models, enabling an analysis of the effects of noise induced by finite size effects.