Meggie Marschner

University of Mannheim.

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I am a PhD candidate in the department of Mathematical Optimization at the University of Mannheim, under the supervision of Prof. Mathias Staudigl. My dissertation is concerned with hierarchical variational inequalities and equilibrium problems.

I hold a Master’s degree in Mathematics from the Georg-August-University Göttingen, where I also did my Bachelor degree (2-subject bachelor Mathematics and Economics).

Research Interests: monotone operators, bilevel optimization, hierarchical optimization, (stochastic) variational inequalities, game theory.

news

Jun 01, 2026 :loudspeaker: I am giving a talk and co-organizing the session on “Exploiting Structures in Monotone Inclusion Problems and Applications to Bilevel Optimization” at the SIAM Conference on Optimization (OP26) in Edinburgh.
Mar 01, 2026 :speech_balloon: I gave a talk at the Convex Optimization Workshop in Bremen.
Jan 01, 2026 :handshake: We are organizing the Optimization in the Länd Workshop (November 2026) at the University of Mannheim.

selected publications

  1. Preprint
    Regularization Methods for Solving Hierarchical Variational Inequalities with Complexity Guarantees
    Daniel Cortild, Meggie Marschner, and Mathias Staudigl
    Dec 2025
    Preprint
  2. Preprint
    Extragradient Methods with Complexity Guarantees for Hierarchical Variational Inequalities
    Pavel Dvurechensky, Meggie Marschner, Shimrit Shtern, and 1 more author
    Dec 2025
    Preprint