Jonas Latz, M.Sc.

Name :	Jonas Latz
Address :	M2 - Lehrstuhl für Numerische Mathematik
	Boltzmannstraße 3
	85748 Garching
Office :	03.10.055
Phone :	+49 89 289 18404
E-mail :	jlatzma.tum.de

Research interests

Uncertainty Quantification & Bayesian Inverse Problems: Monte Carlo, Markov Chain Monte Carlo, Sequential Monte Carlo, Ensemble Kalman Filter, Multilevel Methods, Random fields
Bayesian Statistics: Bayesian Model Selection, Hyperpriors, Bayes Linear Statistics
Numerical Analysis: Reduced Basis Methods
Applications: Engineering (ERA) and Biology
Further interests: Machine Learning, Measure Theory, Approximation of Probability Distributions, Boolean Algebra, Interpretation and Foundations of Probability and Statistics, Matroids

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

~ (2016): Bayes Linear Methods for Inverse Problems, Master's Thesis, University of Warwick. (*.pdf | *.bib)

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).