Bayesian statistics
Bayesian inverse problems — Gaussian Process Regression

Uncertainty Quantification
Model parameter estimation — Sensitivity analysis — Informed decisions

Subspace-based dimension reduction
Active subspaces




TP., M., Schneidewind, A., Brandl, G., Franz, C., Noack, M., Boehm, M., Ganeva, M. (2022). Benchmarking autonomous scattering experiments illustrated on TAS. Frontiers in Materials, 8, 772014. doi:10.3389/fmats.2021.772014 – journal


PhD thesis. Active Subspaces in Bayesian Inverse Problems. Technical University Munich – link

TP., M., Wallin, J., Wohlmuth, B. (2020). Generalized bounds for active subspaces. Electronic Journal of Statistics, 14(1), 917–943. doi:10.1214/20-EJS1684 – journal, arXiv

Bittner, D., TP., M., Mattis, S., Wohlmuth, B., & Chiogna, G. (2020). Identifying relevant hydrological and catchment properties in active subspaces: An inference study of a lumped karst aquifer model. Advances in Water Resources, 135, 103472. doi:10.1016/j.advwatres.2019.103472 – journal


TP., M., Bittner, D., Mattis, S., Chiogna, G., & Wohlmuth, B. (2019). Bayesian calibration and sensitivity analysis for a karst aquifer model using active subspaces. Water Resources Research, 55(8), 7086–7107. doi:10.1029/2019WR024739 – journal, arXiv

TP., M., Mattis, S., Gupta, S., Deusner, C., & Wohlmuth, B. (2019). Efficient parameter estimation for a methane hydrate model with active subspaces. Computational Geosciences, 23(2), 355–372. doi:10.1007/s10596-018-9769-x – journal (full-text view-only), arXiv


Master thesis. Brownian Motion and the Dirichlet Problem. Ludwig-Maximilians-Universität München (LMU) – pdf


Bachelor thesis. N.V. Krylov’s Proof of the de Moivre-Laplace Theorem. University of Applied Sciences Munich (HM) – pdf

Not published

TP., M. (2018). A probabilistic framework for approximating functions in active subspaces – arXiv

Talks, Conferences, etc.

MLZ User Meeting. Benchmarking autonomous TAS experiments. Heinz Maier-Leibnitz Zentrum. December 2021

Workshop on SAXS@XFELs and HI & HE laser driven matter. Benchmarking autonomous TAS experiments. Helmholtz-Zentrum Dresden-Rossendorf. November 2021

Workshop on Innovative Inelastic Neutron Scattering. Benchmarking autonomous scattering experiments illustrated on TAS. Institut Laue-Langevin. October 2021

Workshop on Autonomous Discovery in Science and Engineering (website). Autonomous Experiments for Neutron Three-Axis Spectrometers (TAS) with Log-Gaussian Processes. Center for Advanced Mathematics for Energy Research Applications, Lawrence Berkeley National Laboratory. April 2021 – extended abstract, post

SIAM UQ 2020. Solving a Bayesian Inverse Problem for a Karst Aquifer Model with Active Subspaces. Garching. March 2020 (canceled due to outbreak of SARS-CoV-2)

Statistics seminar. Active Subspaces in Bayesian Inverse Problems. Department of Statistics, Lund University. May 2019

M2 Oberseminar. Active subspaces for Bayesian inversion, Application to a methane hydrate model. Garching. March 2018 – post, slides