I am a postdoctoral researcher in the Operator Algebra group at the Mathematical Institute of the University of Münster.
I am interested in a variety of topics in pure and applied mathematics, including topological and algebraic K-theory, C*-algebras, topological dynamical systems, homotopy theory, machine learning and optimization.
I am specifically interested in K-theoretic isomorphism conjectures, grou(oid) algebras, classification of C*-algebras, and in applications of o-minimal geometry to the optimization of neural networks.
From 2024-2025, I worked as a postdoctoral researcher in data science and machine learning at the University of Münster. I was jointly supervised and funded by Fabian Gieseke at the Chair of Data Science: Machine Learning and Data Engineering at the Department of Information Systems and by Arnulf Jentzen at the Institute for Analysis and Numerics. I was affiliated withthe Cluster of Excellence Mathematics Münster, the European Research Center for Information Systems, the Lamarr Institute, and the AI4Forest project.
Previously, I was a postdoctoral research associate in the Functional Analysis group at the Mathematical Institute of the University of Oxford, supervised by Stuart White.
I obtained my PhD in 2023 under the supervision of Siegfried Echterhoff in the Operator Algebra group at the Mathematical Institute of the University of Münster. Part of my PhD was conducted at the Chalmers University of Technology in Gothenburg, under the supervision of Eusebio Gardella.