My name is Jonas Latz; welcome to my webpage!
Currently, I am a Research Associate in the Department of Applied Mathematics and Theoretical Physics, University of Cambridge. I work with Carola-Bibiane Schönlieb in the Cambridge Image Analysis group and the EPSRC-funded project PET++.
The research I am involved in is at the interface of numerical analysis, computational science, probability theory, and statistics. It focuses on methods that can be used to blend mathematical models with observational data.
|Uncertainty quantification||Bayesian inference||Inverse problems|
|Well-posedness||Measures and integration||Markov chain Monte Carlo|
|Particle filters||Real world data||Low-rank approximation|
|Multilevel methods||Hierarchical models||(Stochastic) partial differential equations|
|Machine Learning||Stochastic Optimisation|
This webpage contains information about my research output in academic journals and at academic meetings. Moreover, I have summarised my teaching experience and my personal background. Input of any kind is highly appreciated; please contact me.