E-mail address
lmk54 [at] bath.ac.uk
Postal address
Dr Lisa Maria Kreusser
Department of Mathematical Sciences
University of Bath
Bath
BA2 7AY
United Kingdom
Scientific Machine Learning Group
Our research lies at the intersection of mathematical modelling, applied and numerical analysis, optimisation as well as data science and machine learning with diverse applications, particularly in biology and climate science.
Lead Postdocs
Lead Postdocs
- Teo Deveney (2022-2024, machine learning; part of the EPSRC Grant Mathematics for Deep Learning)
- Pablo Arratia (2022 - present): PhD student at the University of Bath, Project on machine learning for inverse problems and partial differential equations, co-supervisor with Matthias Ehrhardt.
- Libo Chen (2023 - present): PhD student at the University of Bath, Project on Learning dynamics from data, lead supervisor with Chris Budd.
- Adam Hayes (2023 - present): PhD student at the University of Bath, Project on machine learning and differential equations, lead supervisor with Xi Chen and Pranav Singh.
- Henry Lockyer (2022 - present): PhD student at the University of Bath, Project on machine learning for differential equations, co-supervisor with Pranav Singh and Eike Müller.
- Lawrence Ma (2023 - present): PhD student at the University of Bath, Project on Machine learning for arctic ice modelling, lead supervisor with Chris Budd.
- Viraj Patel (2024 - present): PhD student at the University of Bath, Project on Machine learning for cardiovascular engineering, co-supervisor with Katherine Fraser.
- Ahmed Rashman (2023 - present): PhD student at the University of Bath, Project on modelling and minimization of energy use in 5G networks, co-supervisor with Chris Budd.
- Varshini Thavakumar (2024), MSc student at the University of Bath in collaboration with the Met Office, Project on `Generative Machine Learning in Atmospheric Models'.
- Jan Stanczuk (2019 - 2024), PhD student at the University of Cambridge, Project on Optimal transport in machine learning and diffusion based generative models, co-supervisor with Carola-Bibiane Schönlieb and Christian Etmann.
- Nathan Steele (2023), MSc student at the University of Bath in collaboration with the Met Office, Project on ‘Ensemble Clustering for Surface Transport’.
- Andrew Polston (2022/23): MMath student at the University of Bath, Project on solving partial differential equations using deep learning.
- Matthew Coward (2022): MSc student at the University of Bath in collaboration with the Met Office, Project on ‘Machine Learning of Cloud Organisation within Climate Models’.
- Tobias Cave (2022): MSc student at the University of Bath in collaboration with the Met Office, Project on ‘Learning of cloud fraction parameter’.
- Sam Cook (2021/22): MMath student at the University of Bath, Project on Physics Informed Neural Networks.
- Victor Geadah (2020/21): Master student at the University of Cambridge; Mathematical modelling across scales for collective behaviour.
- Huanqiao Tong (2020/21): Master student at the University of Cambridge; From Micro to Macro: Mathematical Modelling Across Scales for Collective Behaviour.
- Timo Sprekeler (2017): Summer intern at the University of Cambridge; title: Regularised optimal transport for solving gradient flows; co-supervised with Carola-Bibiane Schönlieb and José A. Carrillo.
Opportunities
I can offer a wide variety of projects to motivated students using mathematics to study complex systems in biology and machine learning. Opportunities include summer research projects, master dissertations, PhD projects and international visitors. Please contact me for more information.PhD opportunities (start: October 2025)
- International Excellence PhD Scheme Full 3.5-year scholarships (including stipend and fee waiver) for international students. This scheme is very competitive, and aimed at internationally excellent candidates. Please email me if you are interested in working with me with your full CV and a transcript of marks.
- PhD in Statistical Applied Mathematics (including dynamical systems, partial differntial equations, numerical analysis and mathematical modelling): 4-year fully funded position for home and international students as part of the EPSRC CDT in Statistical Applied Mathematics at Bath (SAMBa).
I am happy to support fellowship applications including but not limited to the EPSRC Doctoral Prize and Postdoctoral Fellowship, the LMS Early Career Fellowship or the Leverhulme Early Career Fellowship. More details on being a research fellow in Mathematics at the University of Bath can be found here