Dr Jacob Page (faculty)

I am a Lecturer (~Assistant 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 Prof 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 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)

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

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

Miguel is a postdoc based in Cambridge on the EPSRC grant “Exact Coherent Structures in Viscoelastic Turbulence” (EP/V027247/1).

Chase Van De Geijn (PhD student 2024— )

Chase is a doctoral student working on symmetry-aware neural networks and gradient-based optimisation as a tool to search for exact coherent states.

Kevin Chen (PhD student 2023— )

Kevin is a doctoral student working on machine learning for the dynamical systems view of turbulence.

Sam Naylor (PhD student 2023— )

Sam is a doctoral student with the MAC-MIGS CDT (2022 cohort). He is co-supervised by Geoff Vasil. Sam is interested in using machine learning to solve problems in physics, and more generally in open-source scientific software development.

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.