Alexander Van Werde

Alexander Van Werde is a doctoral researcher at Eindhoven University of Technology, affiliated with the Department of Mathematics and Computer Science. He is supervised by Jaron Sanders and recently defended his PhD thesis titled Latent structures in Markovian processes and associated random matrices. He will transition to a postdoctoral researcher role at the Cluster of Excellence Mathematics Münster.

• Education:
  • Current PhD candidate at TU/e

Research interests span random matrix theory, Markovian processes, algebraic geometry, and applications of spectral algorithms. His work explores spectral characterization of networks, latent structures in stochastic processes, and intersections with algebraic combinatorics. Additionally, he contributes to theoretical computer science through Lean4-based proof formalization.

Recent articles focus on dependent random matrices, semipermeable barriers in Brownian motion, and algebraic properties of Bernstein-Sato ideals. These works emphasize asymptotic behavior, leading-order term analysis, and spectral concentration phenomena.

Scientific awards include:

• 2023 Best Poster Award for universality-based concentration in dependent random matrices

Projects include OCENW.KLEIN.324 on Markov chain clustering (2021–2025). He also engages in teaching (Probability and Stochastics 1) and public engagement through blogs and art creation.