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Portrait

Remo Kretschmann

School of Engineering Science
Lappeenranta-Lahti University of Technology
PO Box 20, 53851 Lappeenranta, FI
Office: 2408
Email: remo.kretschmann@lut.fi

About me

I am a member of the research group Uncertainty Quantification and Inverse Problems at the Lappeenranta-Lahti University of Technology.

I am a former member of the research group Inverse Problems at the Universität Duisburg-Essen.

I have received my doctoral degree from the Universität Duisburg-Essen. My supervisor has been Prof. Christian Clason.

Before, I have studied mathematics at the Technische Universität München.

My research interests

are, i.a., statistical and Bayesian inverse problems with high- or infinite-dimensional parameter space and regularisation theory, in particular the rigorous statistical interpretation of variational regularisation methods in the context of nonparametric Bayesian inference.

Education

August 2019Doctorate in Mathematics, Universität Duisburg-Essen
November 2012Master of Science in Mathematics, Technische Universität München
November 2009Bachelor of Science in Mathematics, Technische Universität München

Publications

Preprints

Reviewed


Recent talks

Conferences

  • Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems,
    26th Inverse Days, Finnish Meteorological Institute/University of Helsinki, online, 14-18 December 2020.

  • Generalised modes in Bayesian inverse problems,
    25th Inverse Days, University of Jyväskylä, Jyväskylä, Finland, 16-18 December 2019.

  • Generalized modes in Bayesian inverse problems (poster presentation),
    12th International Conference on Bayesian Nonparametrics, University of Oxford, Oxford, United Kingdom, 24-28 June 2019.

  • Generalized modes in Bayesian inverse problems,
    Chemnitz Symposium on Inverse Problems 2018, Technische Universität Chemnitz, Chemnitz, Germany, 27-28 September 2018.

  • Bayesian inverse problems with non-Gaussian noise (poster presentation),
    38th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, The Alan Turing Institute, London, United Kingdom, 02-06 July 2018.

  • Bayesian inverse problems with Laplacian noise,
    Applied Inverse Problems 2017, Zhejiang University, Hangzhou, China, 29 May-2 June 2017.

Seminars

  • Generalised modes in Bayesian inverse problems,
    University of Helsinki, Helsinki, Finland, 9 December 2019.

  • Bayesian inverse problems with Laplacian noise,
    University of Graz, Graz, Austria, 28 September 2017.

Teaching

2021Course on Bayesian inverse problems
2020Intensive course on Bayesian inverse problems
2018Master seminar on Inverse problems
2017–2018Tutorial on Inverse problems
2017Tutorial on Analysis I
2016–2017Tutorials on Regularisation of Inverse problems and Analysis II
2016Tutorial on Iterative methods for systems of linear equations and eigenvalue problems
2015–2016Tutorial on Inverse problems
2015Tutorial on Functional analysis
2014–2015Tutorial on Inverse problems
2014Tutorial on Scientific computing for differential equations
2011Tutorials on Analysis I and Higher mathematics for civil engineers 2