
Jeremy Michael Budd
Assistant Professor in Mathematics

j.m.budd [at] bham.ac.uk
About Me
Since September 2024 I am an Assistant Professor in Mathematics at the University of Birmingham.
I completed my PhD in January 2022, at the Technische Universiteit Delft, under the supervision of Dr. Yves van Gennip and promotion of Prof. Johan Dubbeldam. I graduated PhD cum laude. My thesis was on “Theory and Applications of Differential Equation Methods for Graph-based Learning” and can be accessed here. I have held postdoctoral positions at the Hausdorff Center for Mathematics, Universität Bonn and at the California Institute of Technology, under the supervision of Prof. Franca Hoffmann.
I received my Bachelor’s and Master’s degrees in mathematics from the University of Cambridge in 2017.
Research
My research focuses on the intersection of applied analysis and data science, particularly image processing and machine learning. My specialism is in graph-based learning methods for image processing, e.g. for image segmentation and joint reconstruction-segmentation. See the Research page for more details.
Assorted Matter
- “Joint Reconstruction-Segmentation with Graph PDEs” talk for the One World Mathematics of Machine Learning seminar.
- Slides for “Making Safer AI Systems” public lecture.
- “The Maths of Making Machines See” talk for the Birmingham Popular Maths Lecture series.