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
- 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.
- January 2024: I joined the editorial board of the SIAM/ASA Journal on Uncertainty Quantification as an associate editor.
- November 2023: I joined the editorial board of Statistics and Computing as an associate editor.
- November 2023: I have visited Raúl Tempone and his group at the King Abdullah University of Science and Technology in Saudi Arabia. (tweet with photo)
- October 2023: Interested in Stochastic Gradient Descent on functional data? Have a look at our new JMLR article! (with Kexin Jin, Chenguang Liu, Carola-Bibiane Schönlieb)
- October 2023: New preprint on nested sampling, uncertainty quantification, and rare event estimation by Doris Schneider, Philipp Wacker, and myself.
- September 2023: I joined the Department of Mathematics at the University of Manchester as a Lecturer in Applied Mathematics.
- August 2023: I was fortunate enough to win a SIGEST Award for my article “On the Well-posedness of Bayesian Inverse Problems” [L. 2020; SIAM/ASA J. Uncertain. Quantif. 8(1), p. 451–482]. Thus, an updated version of this article titled “Bayesian Inverse Problems are Usually Well-posed” has just appeared in SIAM Review [L. 2023; SIAM Rev. 65(3), p. 831-865].
- July 2023: Matei Hanu, Claudia Schillings, and I have published an article on Subsampling in Ensemble Kalman Inversion. Here is an open access link.