The Society for Industrial and Applied Mathematics (SIAM) awards the “SIAM Student Paper Prize” for the three best student’s contributions to its journals. Many congratulations to Dr Jonas Latz, currently a research associate in the Cambridge Image Analysis group, who is one of this year’s recipients.

Jonas obtained his doctorate in December 2019 from the Technical University of Munich. In Munich, he studied mathematical and computational aspects of Bayesian inverse problems under the supervision of Prof. Elisabeth Ullmann. He joined the Cambridge Image Analysis group in January 2020. As a part of the EPSRC/GE project PET++, he is working on Bayesian approaches to image reconstruction and stochastic optimisation.

The prize was awarded for the publication “On the Well-posedness of Bayesian Inverse Problems.” It appeared in the SIAM/ASA Journal on Uncertainty Quantification, Volume 8, Issue 1, pages 451–482 (DOI: https://doi.org/10.1137/19M1247176). The paper shows existence, uniqueness, and stability of posterior measures in Bayesian inversion under non-restrictive conditions. Thus, giving a mathematical foundation for a large range of practical Bayesian inverse problems.

For more information on Jonas’ work, please refer to his webpage www.latz.io.