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++. Moreover, I am a Rokos Postdoctoral Research Associate at Queens’ College, Cambridge.

I co-organise the fortnightly Online Reading Group Uncertainty Quantification. Please email me, if you would like to participate.

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 quantificationBayesian inferenceInverse problems
Well-posednessMeasures and integrationMarkov chain Monte Carlo
Particle filtersReal world dataLow-rank approximation
Multilevel methodsHierarchical models(Stochastic) partial differential equations
Machine LearningStochastic 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.