Explore a brief overview of my academic background, professional experience, and the skills developed along the way.
Education
PhD in Mathematics (2020–2026)
- @ Technical University of Berlin and University of Wuppertal
- Thesis title: Generative Modeling for Ergodic Systems
- Graduation: 1 July 2026, with distinction (summa cum laude)
- Supervisor: Prof. Dr. Hanno Gottschalk
M.Sc. in Mathematics (2018–2020)
- @ University of Wuppertal
- Thesis title: Background-foreground detection for interior sensing in automotive industry
B.Sc. in Mathematics (2014–2018)
- @ University of Wuppertal
- Thesis title: Geostatistical analysis of Real estate prices in the urban area of Wuppertal for the years 2007-2017
Academic Positions
Postdoctoral Researcher in Mathematics (since 2026)
- @ Technical University of Berlin
- Member of the Mathematical Modeling of Industrial Life Cycles working group
- Research on how generative models can capture structures and patterns in complex chaotic systems and turbulent flows, bridging practical applications and rigorous mathematical foundations.
Doctoral Researcher in Mathematics (2023-2026)
- @ Technical University Berlin
- Member of the Mathematical Modeling of Industrial Life Cycles working group
- Research on generative learning techniques for ergodic systems
Doctoral Researcher in Mathematics (2020–2023)
- @ University of Wuppertal
- Member of the Applied and Computational Mathematics working group (formerly Stochastics)
- Research on generative adversarial learning techniques for photorealistic enhancement of synthetic images for
autonomous driving and for turbulence modeling in fluid dynamics.
Professional Experience
Working Student (2019–2020)
- @ APTIV
- Member of the Computer Vision Working Group, with a focus on developing seat occupancy detection methods
within the Interior Sensing subgroup.
Freelance Statistician (2018)
- @ Expert Committee for Property Values in the City of Wuppertal
- Follow-up project on the statistical analysis of real estate prices, building on my bachelor’s thesis.
Student Assistant (2017–2019)
- @ University of Wuppertal
- Tutor for exercise classes in Stochastics, Applied Statistics, Finance, and Insurance Mathematics
Memberships
DataNinja NRW (2022–2024)
- Associated member of the Research Training Group DataNinja (``Trustworthy AI for Seamless Problem Solving: Next Generation Intelligence Joins Robust Data Analysis'').
Programming Skills
Languages
