Maximilian Penka

Maximilian Penka is a doctoral researcher at the Department of Mathematics, Technical University of Munich (TUM), affiliated with the Analysis research group under Prof. Gero Friesecke. His work bridges optimal transport theory with computational mathematics, focusing on algorithmic solutions for high-dimensional problems.

• University: Technical University of Munich
• School: School of Computation, Information and Technology
• Department: Department of Mathematics
• Academic Rank: Researcher

Penka's research explores multimarginal optimal transport through computational frameworks like genetic algorithms and column generation. His publications address theoretical convergence guarantees and practical applications to adversarial classification, barycenters, and Wasserstein splines. His teaching contributions include exercise sessions for courses in analysis, optimal transport, and Fourier series.

His work intersects disciplines such as applied mathematics, machine learning, and numerical analysis, emphasizing scalable algorithms for complex transport problems. Collaborations with the Chair of Global Analysis highlight his integration of theoretical rigor with computational innovation.

Penka earned his B.Sc. from University of Göttingen (supervised by Prof. Axel Munk) and M.Sc. from TUM (supervised by Prof. Gero Friesecke). He contributes to educational initiatives like Hausaufgabenhilfe Analysis 1 and Hauptseminar on advanced optimal transport topics.