Education

2025

PhD in Mathematical Physics

Graduation: February 2025

Dissertation: Limits of Approximation of Quantum Markov Semigroups in Infinite-Dimensional Systems

Research Focus: Quantum information theory and quantum many-body systems

Research Stays: Télécom Paris, DAMPT University of Cambridge, Caltech, QMATH Copenhagen, University of Houston

Extracurricular: MCQST Diversity in Leadership Program, One-to-One English Coaching, Infinite-Dimensional Quantum Markov Semigroups, Reading Group: Random Quantum Circuits, Optimal Transport on Quantum Structures, QMATH Masterclass: Entropy Inequalities in Quantum Information Science, Group Retreats: Quantum Information and Technology, Reading Group: From Classical to Quantum Cryptography, Concentration Inequalities and Matrix Computations, Machine Learning Training Camp, Analysis, Simulation, and Applications of Optimal Transport Problems, Reading Group: Physics and Mathematics of Quantum Many-Body Systems, Quantum Information Theory Seminar

2020

Master of Science in Mathematics

ETH Zürich , Switzerland

Thesis: On Chain Rules for Quantum Rényi Divergences

Curriculum: Numerical Methods for Elliptic and Parabolic Partial Differential Equations, Brownian Motion and Stochastic Calculus, Fundamentals of Mathematical Statistics, Communication in Mathematics, Computational Methods for Quantitative Finance: PDE Methods, On Deep Artificial Neural Networks and Partial Differential Equations, Optimal Transport, Topics in Partial Differential Equations, Uncertainty Quantification in Electromagnetism, Social Psychology of Effective Teamwork, Dynamical Systems I, Dynamics of Large-Scale Atmospheric Flow, Numerical Modelling of Weather and Climate

2018

Bachelor of Science in Mathematics

Thesis: Generalized Quantum Zeno Effects

Curriculum: Introduction to Numerical Linear Algebra, Functional Analysis, Nonlinear Dynamics, Lab Course: Programming with R, Experimental Physics 1–2, Introduction to Programming, Advanced Seminar Course: Introduction to Neural Networks, Introduction to Probability Theory, Mathematical Models in Continuum Mechanics, Mathematical Modeling: Case Studies, Basic Statistics, Measure and Integration, Algebra, Ordinary Differential Equations, Introduction to Nonlinear Optimization, Elementary Differential Geometry, Complex Analysis, Analysis 1–2, Linear Algebra and Discrete Structures 1–2, English – Gateway to English Master’s (C1)

Employments

2024

Research Associate (Doctoral Researcher)

Period: 09.2020 - 03.2024

Funding: SFB TRR 352 and MCQST

2017

Big Data Developer (Internship)

Daimler AG Group Research & MBC Development , Germany

Period: 09.2017 - 10.2017

Responsibilities: Tutored stochastic for computer science students (2022), co-designed and delivered Mathematical Physics Master's program precourse (2022), tutored probability theory course for mathematicians (2023), led Analysis II tutorials and repetitorial (2024)

Teaching Experience

  • Invited Speaker for QMATH-Masterclass on Quantum Learning Theory at the University of Copenhagen (2023)
  • Course Lead for Quantum Statistical Inference at the Technical University of Munich (S2022)
  • Teaching Assistant for Advanced Lab Course — FOPRA at the Technical University of Munich (S2022)
  • Teaching Assistant for Math. Foundations of Machine Learning at the Technical University of Munich (S2021)
  • Teaching Assistant for LaTeX Preparatory Course at the Technical University of Munich (W2022/23)
  • Teaching Assistant for Mathematics for Physicists 2 at the Technical University of Munich (W2021/22)
  • Mentor in the MCQST Bachelor Summer Student Program 2021 at the Technical University of Munich
  • Teaching Assistant for Mathematics for Physicists 2 at the Technical University of Munich (W2020/21)
  • Teaching Assistant for Calculus 1 at the Eidgenössische Technische Hochschule Zürich (W2019)
  • Teaching Assistant for Linear Algebra 2 at the Technical University of Munich (S2018)
Last update January 2026