My name is Jonas Latz; welcome to my webpage!
I am currently a Lecturer in Applied Mathematics at the University of Manchester.
The research I am involved in is at the interface of statistics and probability, numerical analysis, and computational science. It focuses on methods that can be used to blend mathematical models with observational data. Recently, I have been studying Bayesian and deterministic inverse problems, hierarchical random fields, the theoretical foundations of stochastic optimisation, efficient computational methods in data science and uncertainty quantification, and related problems.
I have an open PhD position. Take a look and contact me!
News
- April 2025: Alix Leroy was chosen to be one of 30 participants for the Rising Stars in Computational & Data Sciences meeting at the Oden Institute, University of Texas at Austin, USA. Congratulations! (Photo)
- April 2025: Simon Urbainczyk wins the SIAM Student Poster Prize at the SIAM UKIE Annual Meeting 2025. Congratulations! (Photo)
- April 2025: New preprint on discrete-to-continuum limits of semilinear stochastic evolution equations in Banach spaces by Yves van Gennip, Joshua Willems, and myself.
- March 2025: Our article on Bayesian adversarial robustness just appeared in the European Journal of Applied Mathematics (with Zihan Ding, Kexin Jin, and Chenguang Liu).
- December 2024: New preprint on deep Gaussian process priors for Bayesian image reconstruction by Aretha Teckentrup, Simon Urbainczyk, and myself.
- October 2024: Alix Leroy and I visited Siemens Energy in Berlin for knowledge exchange and a guided tour around the production facilities. (Photo)
- October 2024: Our paper A Continuous-time Stochastic Gradient Descent Method for Continuous Data (with Kexin Jin, Chenguang Liu, and Carola-Bibiane Schönlieb) that appeared in JMLR in 2023 was accepted for a NeurIPS poster presentation through the journal to conference track.
- October 2024: Doris Schneider, Philipp Wacker, and I have looked at nested sampling for UQ and rare event estimation. Our work has just appeared in SISC: take a look.
- September 2024: New preprint on the parametrisation of Gaussian fields by Liam Llamazares-Elias, Finn Lindgren, and myself.
- August 2024: I really enjoyed MCQMC 2024 in Waterloo, ON — MCQMC 2026 will take place in Edinburgh: main organiser will be Aretha Teckentrup — I will support her as a co-organiser.
- August 2024: New preprint on random timestep Euler methods and their dynamics.
- July 2024: New preprint on Bayesian adversarial robustness by Zihan Ding, Kexin Jin, Chenguang Liu, and myself.
- May 2024: Tamara Grossmann, Julia Komorowska, Carola-Bibiane Schönlieb and I have compared physics-informed neural networks with the finite element method. Our paper was recently accepted for publication; the article can be accessed here.
- March 2024: I am very fortunate! I was chosen for the 2024 SIAM Activity Group on Uncertainty Quantification Early Career Prize. Thus, I gave a plenary talk at the SIAM Conference on Uncertainty Quantification 2024 in Trieste, Italy. You can access the slides here.
