CV
You can download my full CV here.
Education
PhD candidate in AI Safety @ CISPA Helmholtz Center for Information Security (Jun. 2024 - present)
- Researching LLM Alignment and Interpretability advised by Prof. Mario Fritz
- coadvised by Prof. David Krueger at MILA as part of the ELLIS PhD program
MSc. Computer Science - AI Technology Track @ University of Technology Delft (Sep. 2021 - Nov. 2023)
- Thesis: Counterfactual Explanations of Learned Reward Functions
- Grade: 8.5/10
BSc. Business Informatics @ Otto-Friedrich-University Bamberg (Apr. 2017 - May 2021)
- Thesis: Efficient inference of qualitative temporal information for robust planning
- Grade: 1.2 (cum laude)
Research experience
Participant @ AI Safety Camp (Jan. 2024 - Mai 2024)
- Conducted and published research to characterize and prevent harmful fine-tuning attacks
Research Fellow @ Swiss Existential Risk Initative (Jul. 2022 - Aug. 2022)
- Employed interdisciplinary thinking to identify data requirements for Inverse Reinforcement Learning to learn human values
- Experimentally validated theoretical shortcomings and technical challenges for Reward Learning
Research Assistant @ Otto-Friedrich-University Bamberg (Jun. 2021 - Aug. 2021)
- Conducted empirical research on knowledge representation in temporal domains
Teaching and Organising Experience
Founder @ Delft AI Safety Initiative (Nov. 2022 - Dec. 2023)
- Devised strategy and structure for a new student organisation focused on addressing risks from AI
- Delivered courses and regular events on AI Alignment to >50 students
- Presented introductory talks about research in AI Safety
Teaching Assistant - Algorithms and Data Structures @ Otto-Friedrich-University Bamberg (Apr. 2019&2021 - Aug. 2019&2021)
- Held weekly classes and discussions explaining key concepts in Computer Science
- Graded assignments and providing feedback