Computational flow science

People

Dr Jacob Page (faculty)

I am a Reader (=Associate Professor) in Applied and Computational Mathematics at the University of Edinburgh. I’m broadly interested in turbulence in both Newtonian and more “exotic” fluids (e.g. viscoelastic substances) and implications for heat, mass and momentum mixing. I study these flows using ideas from dynamical systems theory combined with data-driven methods, with a recent focus on machine learning.

Previously, I was the Sultan Qaboos Research Fellow and a College Lecturer in Mathematics at Corpus Christi College, University of Cambridge, following a postdoc working with Professor Rich Kerswell (Mathematics, Bristol and then DAMTP, Cambridge). Before that I was an EPSRC Doctoral Prize Fellow at Imperial College London, where I also did my PhD with Professor Tamer Zaki (Johns Hopkins).

Our work is supported by a UKRI Frontier Research Guarantee Grant (an ERC Starting Grant), by EPSRC and the Met Office.

Contact: jacob.page@ed.ac.uk


Dr Andhini Zurman-Nasution (postdoc 2025— )

Andhini has a PhD from the University of Southampton. She will be working on problems in low-order modelling, super-resolution and neural network interpretability.

Dr Dmitriy Zhigunov (postdoc 2024— )

Dmitriy is a postdoc who has joined us from Georgia Institute of Technology. He will be working on data-driven approaches for the dynamical systems view of turbulence.

Dr Markus Scherer (visiting researcher, 2024—25)

Markus is a postdoc from Karlsruhe Institute of Technology. He is working on data-driven approaches to periodic orbit convergence.

Dr Miguel Beneitez (postdoc - DAMTP, Cambridge, 2021—24)

— Next position: postdoc at KTH, Sweden. Will join University of Manchester faculty in 2025.


Hamish Lister (PhD student 2024— )

Reinforcement learning for flow control (with Georgios Rigas, Imperial College London).

Alex Richardson-Jones (PhD student 2024— )

Instabilities and turbulence in viscoelastic fluids.

Fan Xu (PhD student 2024— )

ML for ocean turbulence. Co-supervised with James Maddison (Maths, Edinburgh).

Andrew Cleary (PhD student 2021— )

Andrew is a doctoral student with the MAC-MIGS CDT (2020 cohort). His research interests are primarily in applying machine learning to solve physical problems and reinforcement learning algorithms for mean field games.

Joe Holey (PhD student - DAMTP, Cambridge 2021— )

Joe is a doctoral student based in DAMTP, Cambridge. His primary supervisor is Rich Kerswell. Joe is interested in the application of machine learning to problems in dynamical systems.

Maria Li (PhD student - DAMTP, Cambridge 2019— )

Maria is a doctoral student based in DAMTP, Cambridge. Her primary supervisor is Colm Caulfield.