André Schlichting

André Schlichting is a Full Professor of Applied Analysis at the University of Ulm, leading the Institute of Applied Analysis since October 2024. Previously, he served as an Associate Professor for Applied Mathematics at the University of Münster (2020–2024) and held postdoctoral and visiting professor roles at institutions including the University of Bonn and RWTH Aachen. His research focuses on the qualitative analysis of complex systems, combining methods from partial differential equations, stochastic analysis, and numerical analysis. Key interests include metastability in statistical mechanics, phase transitions, variational methods, and the longtime behavior of dissipative systems.

Education:

• Habilitation (Facultas Docendi), University of Bonn, 2020 (Phase Transitions in Interacting Systems)
• PhD in Mathematics, Universität Leipzig, 2012
• Diploma in Mathematics, TU Freiberg, 2008
• Studies in Mathematics at University of Pavia (Italy) and TU Freiberg

Research Interests:

His work bridges applied mathematics and theoretical physics, addressing problems in statistical mechanics, stochastic processes, and machine learning. Key areas include:

• Metastability in molecular and statistical mechanics systems
• Coarsening and nucleation phenomena in interacting particle systems
• Variational methods for dissipative evolution equations
• Entropy methods and functional inequalities (spectral gap, log-Sobolev)
• Gradient flows and their limits in continuum and discrete settings
• Discrete and nonlocal dynamics on graphs and data sets

Recent Article Trends:

His recent work emphasizes gradient flow structures, discretization schemes for PDEs, and metastability in stochastic systems. Notable contributions include analysis of the exchange-driven growth model, McKean-Vlasov equations on manifolds, and covariance-modulated optimal transport. These studies highlight interdisciplinary approaches to bridging discrete and continuum dynamics.

Labs/Teams:

He leads the Applied Analysis group at Ulm University, focusing on collaborative research in PDEs, stochastic processes, and numerical methods. Active participation in initiatives like the Hausdorff Trimester Program (Bonn) underscores his role in fostering interdisciplinary research networks.