CV

Contact Information

Name Meggie Marschner
Professional Title PhD Candidate in Mathematical Optimization
Email meggie.marschner@uni-mannheim.de

Professional Summary

PhD Candidate in Mathematical Optimization at the University of Mannheim. Research interests include monotone operators, hierarchical optimization, bilevel optimization, stochastic variational inequalities, and game theory.

Experience

  • 2023 - present

    Mannheim, Germany

    Research Assistant
    University of Mannheim
  • 2024 - present

    Mannheim, Germany

    Teaching Assistant – Non-Linear Optimization
    University of Mannheim
  • 2024 - present

    Mannheim, Germany

    Teaching Assistant – Linear Optimization
    University of Mannheim
  • 2025 - 2025

    Mannheim, Germany

    Teaching Assistant – Seminar Mathematical Optimization
    University of Mannheim
  • 2025 - 2025

    Mannheim, Germany

    Tutor – Linear Algebra
    University of Mannheim
  • 2022 - 2023

    Göttingen, Germany

    Tutor – Mathematics for Economics
    Georg-August-University Göttingen
  • 2023 - 2023

    Germany

    Master Student
    E.ON
  • 2020 - 2022

    Hannover, Germany

    Working Student
    E.ON
  • 2026 - present

    Mannheim, Germany

    Workshop Organisation – "Optimization in the Länd"
    University of Mannheim
  • 2016 - 2020

    Göttingen, Germany

    Student Council of Representatives, Faculty of Mathematics
    Georg-August-University Göttingen
  • 2025 - present

    Reviewer
    Acta Applicandae Mathematicae

Education

  • 2023 - present

    Mannheim, Germany

    PhD Candidate
    University of Mannheim
    Mathematical Optimization
    • Thesis: “Hierarchical Variational Inequalities and Equilibrium Problems”
  • 2022 - 2022

    Osaka, Japan

    Exchange Semester
    Osaka University
    Mathematics
  • 2020 - 2023

    Göttingen, Germany

    Master of Mathematics (with distinction)
    Georg-August-University Göttingen
    Mathematics
    • Thesis: “Optimizing Energy Portfolios: Exploring Risk Measures and a Case Study for Germany”
  • 2015 - 2020

    Göttingen, Germany

    2-Subject Bachelor
    Georg-August-University Göttingen
    Mathematics and Economics

Publications

  • 2025
    Tikhonov Regularized Exterior Penalty Methods for Hierarchical Variational Inequalities
    2025 IEEE 64th Conference on Decision and Control (CDC)
  • 2025
    Regularization Methods for Solving Hierarchical Variational Inequalities with Complexity Guarantees
    Preprint
  • 2025
    Extragradient Methods with Complexity Guarantees for Hierarchical Variational Inequalities
    Preprint
  • 2025
    Complexity Guarantees for Risk-Neutral Generalized Nash Equilibrium Problems
    Preprint

Languages

German : Native speaker
English : Fluent
French : Basic knowledge
Japanese : Beginner

Interests

Mathematical Optimization: Monotone Operators, Hierarchical Optimization, Bilevel Optimization, Stochastic Variational Inequalities, Game Theory, Applications to Machine Learning, Applications to Finance, Applications to Energy Markets