Education
- 2026 – Ongoing: PhD at Human-Centered Transformative AI Lab (HTAIL) at Hasso Plattner Institute
- 2024 – 2026: Triple Master’s degree
- Computer Science & Applied Mathematics, Sorbonne Université
- Computational Science, Università della Svizzera italiana (USI)
- 2019 – 2023: B.Sc. Cognitive Science, Osnabrück University
Publications
- Nov 2026: Eijsbroek, V. C., Ackermann, L., et al. Multiple Methods for Visualizing Human Language: A Tutorial for Social and Behavioral Scientists Advances in Methods and Practices in Psychological Science
- Dec 2024: Ackermann, L., et al. On the Transferability of Parameter-Efficient Continual Learning for Vision Transformers. NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles and Scalability.
- May 2024: Ackermann, L., et al. On the Relationship between Skill Neurons and Robustness in Prompt Tuning. COLING 2024
Software
- topics: R package for visualizing text in topic models, 48k+ downloads
Experience
- Mar 2026 – Aug 2026: Master Thesis Intern, Institut Pasteur & Paris Brain Institute, Paris, France
- Apr 2024 – Sep 2024: Machine Learning Working Student, Hasso Plattner Institut, Potsdam, Germany
- Jun 2024 – Aug 2024: Machine Learning Intern, Cyber Information Security Lab, CCU, Taiwan
- Oct 2023 – Mar 2024: Computational Linguistics Research Intern, Harmony Research Group, Lund, Sweden
Volunteer Work
- 2024: AI Tutor, KI macht Schule, Berlin, Germany