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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.
| Keywords. | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 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.