Curriculum Vitae

Full CV

Work Experience & Positions

Since Feb 2023
Merantix Momentum GmbH

Staff 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 Energie

Scientific 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 Institute

Scientific 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 Mathematics

Scientific 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 Mathematics

Student 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 Energie

Student 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 Berlin

Ph.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 Berlin

M.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 Berlin

B.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