Saarland Informatics Campus
Campus E1.1, Room 1.22
66123 Saarbrücken, Germany
Contact:
-
Other:
GoogleScholarAbout me
After finishing my Masters in Mathematics & Computer Science at Saarland University in summer 2023, I joined the Modeling and Simulation group at the Computer Science Department of Saarland University as a Ph.D. student. I am also associated with the Department of Neuro-mechanistic Modeling (NMM) at the German Research Center for Artificial Intelligence (DFKI).
My research mainly targets the field of causal reinforcement learning, that is, the incorporation of causal knowledge into the reinforcement learning pipeline with the goal to improve sample efficiency, generalizability, interpretability, and/or safety. Thereby, I am particularly interested in using ideas from the formal methods community to reason about causality, for instance, for finding causal explanations for the behavior of a reinforcement learning agent.
Theses
- Counterfactual Causality in Real-Time Systems, Master’s thesis, July 2023.
- Synthetic One-One, Many-One, and Truth-Table Reducibility in Coq, Bachelor’s thesis, September 2020.
Co-supervised Students
- Jannik Müller, Bachelor’s thesis, ongoing.
Teaching
- Summer 24: Teaching Assistant for Seminar “Special Topics in Deep Reinforcement Learning”
- Winter 23/24: Teaching Assistant for Advanced Lecture “Reinforcement Learning”
- Summer 21: Student TA for Advanced Lecture “Ethics for Nerds”
- Summer 20: Student TA for Basic Lecture “Concurrent Programming”
- Winter 19/20: Student TA for Basic Lecture “Introduction to Theoretical Computer Science”
- Winter 18/19: Student TA for Basic Lecture “Programming 1”