Curriculum Vitae
Work Experience & Positions
Since Feb 2023
Merantix Momentum GmbHStaff Machine Learning Researcher
• since Mar 2024 Staff Machine Learning Researcher
• May 2023 - Feb 2024 Research Team Lead
• Feb 2023 - Apr 2023 Senior Machine Learning Researcher
Apr 2022 - Jan 2023
Helmholtz Zentrum Berlin für Materialien und EnergieScientific Employee - Machine Learning Scientist
Member of the department "Optics and Beamlines"
• Research on machine learning solutions for the design and optimization of synchrotron beamlines
• Development of new machine learning algorithms for Laplace transform inversion (with application to residual stress depth profiling)
Apr 2020 - Mar 2022
Utrecht University, Mathematical InstituteScientific Employee - Postdoctoral Researcher
Member of the group of Prof. Dr. Sjoerd Dirksen
• Large-scale empirical study of the adversarial robustness and reliability of deep neural networks for inverse problems
• Development of data-driven models for computational imaging (focus on medical imaging problems)
• Capacity analysis of random neural networks
Jul 2015 - Mar 2020
Technische Universität Berlin, Department of MathematicsScientific Employee - (Post)doctoral Researcher
Member of the group "Applied Functional Analysis" of Prof. Dr. Gitta Kutyniok
• Study of the LASSO algorithm under non-linear observations
• Complexity analysis of convex regularization for sparse recovery & compressed sensing
• Interdisciplinary projects in bioinformatics & communication
Jun 2013 - Jun 2015
Technische Universität Berlin, Department of MathematicsStudent Research Assistant
Member of the group "Applied Functional Analysis" of Prof. Dr. Gitta Kutyniok
• Research in mathematical imaging & applied harmonic analysis
Feb 2010 - May 2013
Helmholtz Zentrum Berlin für Materialien und EnergieStudent Research Assistant
Member of the group of Prof. Dr. Christoph Genzel
• Development of EDDIDAT: MATLAB software for the analysis of energy-dispersive X-Ray-spectra
Academic Education
May 2019
Technische Universität BerlinPh.D. in Mathematics (Summa cum laude)
Thesis: "The Mismatch Principle and L1-Analysis Compressed Sensing: A Unified Approach to Estimation Under Large Model Uncertainties and Structural Constraints", Advisor: Prof. Dr. Gitta Kutyniok
Jun 2015
Technische Universität BerlinM.Sc. in Mathematics (Overall grade: 1.0)
Thesis: "Sparse Proteomics Analysis: Toward a Mathematical Foundation of Feature Selection and Disease Classification", Advisor: Prof. Dr. Gitta Kutyniok
Sep 2013
Technische Universität BerlinB.Sc. in Mathematics (Overall grade: 1.0)
Thesis: "Analysis von Inpainting mittels Hybrid-Shearlets und Clustered Sparsity" (in german), Advisor: Prof. Dr. Gitta Kutyniok
Honors & Awards
Nov 2021
Winner of the Helsinki Deblur Challenge 2021
Jointly with team members Theophil Trippe, Jan Macdonald, and Maximilian März [Website|Code]; Challenge sponsored by the Finnish Inverse Problems Society (FIPS)
Jun 2021
Winner of the AAPM Grand Challenge "Deep Learning for Inverse Problems"
Jointly with team members Jan Macdonald and Maximilian März [Website|Code]; Challenge sponsored by the American Association of Physicists in Medicine (AAPM)
Dec 2020
BIMoS Ph.D. Award
Prize for outstanding dissertation by the Berlin International Graduate School in Model and Simulation based Research (BIMoS), based at TU Berlin
Jan 2017
Election as GAMM Junior
Junior fellow of the International Association of Applied Mathematics and Mechanics (GAMM)
Oct 2014 - Jun 2015
Deutschlandstipendium
German scholarship programme for talented students