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Jonas Latz, M.Sc.

Name : Jonas Latz
Address : M2 - Lehrstuhl für Numerische Mathematik
Boltzmannstraße 3
85748 Garching b.M.

Office : 03.10.055
Phone : +49 89 289 18404
E-mail : (Send me an encrypted email)



Methods in (Numerical Analysis)[3], (Computational Science)[6-7], (Probability Theory and Statistics)[1-2,4-5] that can be used to blend mathematical models with observational data.


  • [7] Felipe Uribe, Iason Papaioannou, Jonas Latz, Wolfgang Betz, Elisabeth Ullmann, Daniel Straub (2019)
    Bayesian inference with subset simulation in spaces of varying dimension
    Under review. (Abstract, *.bib, Preprint)
  • [6] Ionuţ-Gabriel Farcaş, Jonas Latz, Elisabeth Ullmann, Tobias Neckel, Hans-Joachim Bungartz (2019)
    Multilevel Adaptive Sparse Leja Approximations for Bayesian Inverse Problems
    Under review. (Abstract, *.bib, arXiv Pfeil)
  • [5] Jonas Latz (2019)
    On the well-posedness of Bayesian inverse problems
    Under review. (Abstract, *.bib, arXiv Pfeil)
Refereed journal publications
  • [4] Christian Kahle, Kei Fong Lam, Jonas Latz, Elisabeth Ullmann (2019)
    Bayesian parameter identification in Cahn-Hilliard models for biological growth
    SIAM/ASA J. Uncertain. Quantif. 7(2), p. 526-552, DOI Pfeil. (Abstract, *.bib, arXiv Pfeil)
  • [3] Jonas Latz, Marvin Eisenberger, Elisabeth Ullmann (2019)
    Fast Sampling of parameterised Gaussian random fields
    Comput. Methods in Appl. Mech. Engrg. 348, p. 978-1012, DOI Pfeil. (Abstract, *.bib, arXiv Pfeil)
  • [2] Jonas Latz, Iason Papaioannou, Elisabeth Ullmann (2018)
    Multilevel Sequential² Monte Carlo for Bayesian Inverse Problems
    J. Comput. Phys. 368, p. 154-178, DOI Pfeil. (Abstract, *.bib, arXiv Pfeil)
Refereed book chapters
  • [1] Matthieu Bulté, Jonas Latz, Elisabeth Ullmann (2018)
    A practical example for the non-linear Bayesian filtering of model parameters
    Accepted. (github Pfeil, Abstract, *.bib, arXiv Pfeil)




  • (February 20th-22nd 2019) Courant Institute of Mathematical Sciences, New York, NY, USA. (with Benjamin Peherstorfer)
  • (January 24th-25th 2019) Chair of Applied Mathematics, University of Manchester, UK. (with Kody J.H. Law)
  • (September - November 2018) Chair of Scientific Computing and Uncertainty Quantification, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. (with Fabio Nobile)
  • (February 5th-23rd 2018) Isaac Newton Institute, University of Cambridge, UK.
  • (November 20th-22nd 2017) Chair of Mathematical Optimization, Universität Mannheim, Germany. (with Claudia Schillings)




Technische Universität München, Zentrum Mathematik
University of Warwick, Mathematics Institute, UK
  • (Term 1/2 2015/16) Undergraduate Supervisor,
Universität Trier, Fachbereich IV
  • (Summer term 2015) Tutorials in Elemente der Analysis 2,
  • (Winter term 2014/15) Tutorials in Elemente der Analysis 1 and Tutorials in Mikroökonomik,
  • (Winter term 2013/14) Tutorials in Mikroökonomik.

Supervised students

Bachelor's theses
  • (ongoing) Samuel Amar (working title: Adaptive Metropolis for Bayesian inference in crystallography)
  • (2019) Sarah Kreuzer (title: Efficient implementation of the Ising-model and image denoising)
  • (2018) Matthieu Bulte (title: Sequential Monte Carlo for time-dependent Bayesian Inverse Problems)
Master's theses
  • (2018) Sabrina Balzer (title: Gaussian process surrogates for Bayesian parameter identification in computational oncology; with Christian Kahle and Elisabeth Ullmann)
  • (2018) Fabian Wagner (title: Particle Methods for Deep Learning)
  • (2017) Marvin Eisenberger (title: Parameterized solution of Karhunen-Loève Eigenproblems with Reduced Basis Methods in Uncertainty Quantification, now: TUM Dep. Informatics)


Degree programmes

  • (ongoing) Doctoral Studies in Mathematics, Technische Universität München, Germany
  • (2015-2016) Master of Science in Scientific Computing (with Distinction), University of Warwick, UK
  • (2014-2016) Master of Science in Applied Mathematics and Economics, Universität Trier, Germany
  • (2012-2014) Bachelor of Science in Business Mathematics, Universität Trier


  • Jonas Latz (2016)
    Bayes Linear Methods for Inverse Problems
    Master's Thesis, University of Warwick. (*.pdf | *.bib)
  • Jonas Latz (2014)
    Äußere Hausdorff Maße: Anwendungen und Eigenschaften
    Bachelor's Thesis, Universität Trier.

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