Supervision and mentoring

I am open to supervising or informally supporting students who are interested in physics, scientific machine learning, or computational methods for complex systems.

If you would like to discuss a thesis topic, internship idea, or possible collaboration, feel free to reach out with a short description of your background and interests.

Supervised projects

Investigating the correlation of classical and quantum systems stability and their performance as reservoir computers

Master’s thesis

Entropy production of driven active matter systems with an application to reservoir computing

Master’s thesis

Controlling observable properties via external driving of dynamical systems (optimized with Reinforcement Learning)

DAAD RISE Scholarship

Physics-informed neural network for solving the nonlinear Schrödinger equation

Bachelor’s thesis