Jonas Latz, M.Sc.
Research
Interests
Methods in Numerical Analysis
3, Computational Science, Probability Theory
4 and Statistics
1,2 that can be used to blend mathematical models with observational data.
Publications
- Christian Kahle, Kei Fong Lam, Jonas Latz, Elisabeth Ullmann (2018)
Bayesian parameter identification in Cahn-Hilliard models for biological growth
Under review. (Abstract, *.bib, arXiv 
)
- Jonas Latz, Marvin Eisenberger, Elisabeth Ullmann (2018)
Fast Sampling of parameterised Gaussian random fields
Under review. (Abstract, *.bib, arXiv )
- Matthieu Bulté, Jonas Latz, Elisabeth Ullmann (2018)
A practical example for the non-linear Bayesian filtering of model parameters
Accepted. (github , Abstract, *.bib, arXiv )
- Jonas Latz, Iason Papaioannou, Elisabeth Ullmann (2018)
Multilevel Sequential² Monte Carlo for Bayesian Inverse Problems
J. Comput. Phys. 368, p. 154-178, DOI . (Abstract, *.bib, arXiv )
Talks
- (February 25th - March 1st 2019) SIAM Conference on Computational Science and Engineering (CSE19) , Spokane, WA, USA.
- (January 23rd 2019) Warwick SIAM Student Chapter's conference on "High Dimensional Inference and Monte Carlo Techniques" , University of Warwick, Coventry, United Kingdom.
- (October 22nd 2018) Seminar ANCHP + CSQI, École Polytechnique Fédérale de Lausanne, Switzerland.
- (September 20th 2018) Seminar CSQI, École Polytechnique Fédérale de Lausanne, Switzerland.
- (July 1st-6th 2018) 13th International Conference in Monte Carlo & Quasi-Monte Carlo Methods in Scientific Computing (MCQMC 2018) , Rennes, France.
- (April 16th-19th 2018) SIAM Conference on Uncertainty Quantification 2018 (UQ18) , Garden Grove, CA, USA.
- (March 19th-23rd 2018) GAMM Annual Meeting 2018 , Munich, Germany.
- (February 20th 2018) Seminar , Isaac Newton Institute, Cambridge, United Kingdom.
- (February 5th-9th 2018) Surrogate models for UQ in complex systems , Isaac Newton Institute, Cambridge, United Kingdom. (Poster)
- (November 22nd 2017) Seminar Stochastics, Statistics and Numerical Analysis, Universität Mannheim, Germany. (Slides)
- (September 6th-8th 2017) FrontUQ in Engineering, Munich, Germany.
- (June 15th-17th 2017) 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017) , Rhodes, Greece.
- (March 24th 2017) Group Seminar, Hybrid Materials Interfaces Group, Universität Bremen, Germany.
Stays
- (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)
Teaching
Lectures
Tutorials
- (Winter term 2018/19) Supervision in Hauptseminar: Data assimilation,
- (Summer term 2018) Tutorials in Numerical Methods for Uncertainty Quantification,
- (Winter term 2017/18) Tutorials in Einführung in die Numerische Lineare Algebra,
- (Summer term 2017) Tutorials in Numerical Methods for Uncertainty Quantification and Supervision in Hauptseminar: Uncertainty Quantification with Efficient Monte Carlo Methods,
- (Winter term 2016/17) Tutorials in Maß- und Integrationstheorie,
- (Term 1/2 2015/16) Undergraduate Supervisor (Mathematics Institute, University of Warwick),
- (Summer term 2015) Tutorials in Elemente der Analysis 2 (Fachbereich IV, Universität Trier),
- (Winter term 2014/15) Tutorials in Elemente der Analysis 1 and Tutorials in Mikroökonomik (Fachbereich IV, Universität Trier),
- (Winter term 2013/14) Tutorials in Mikroökonomik (Fachbereich IV, Universität Trier).
Supervised students
- (ongoing) Sarah Kreuzer (B.Sc. student, working title: Efficient implementation of the Ising-model and image denoising)
- (ongoing) Sabrina Balzer (M.Sc. student, title: Gaussian process surrogates for Bayesian parameter identification in computational oncology; with Christian Kahle and Elisabeth Ullmann)
- (2018) Fabian Wagner (M.Sc. student, title: Particle Methods for Deep Learning)
- (2018) Matthieu Bulte (B.Sc. student, title: Sequential Monte Carlo for time-dependent Bayesian Inverse Problems)
- (2017) Marvin Eisenberger (M.Sc. student, title: Parameterized solution of Karhunen-Loève Eigenproblems with Reduced Basis Methods in Uncertainty Quantification, now: TUM Dep. Informatics)
Education
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
Theses
- 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.
Useful(?!) Links
- Reading Group Uncertainty Quantification
- Project 10.02/BAYES@International Graduate School of Science and Engineering at TUM.
- Networks: GitHub\latz-io , orcid.org , researchgate
- Lunch menus@Garching: FMI Cafeteria, IPP Canteen , Mensa
- Science Communication:
- Uncertaintea Quantification (Youtube) , Science Slam, Hamburg, 2017 (in German)
- Latz, Ullmann: Bayes'sche Inversion am Beispiel des Fadenpendels, in Quartl 84, Garching, 2017 (in German)
- Latz, Ullmann: Wie lernen Computer die Erdbeschleunigung?, in TUM Campus Magazin, 01/2018 (in German)
tum.de