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publications
Incorporating structural knowledge into unsupervised deep learning for two-photon imaging data
Published in bioRxiv, 2021
Using a neural network architecture that reflects domain knowledge provides an interpretable model of live cell imaging data.
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Semantic Component Analysis: Discovering Patterns in Short Texts Beyond Topics
Published in arXiv, 2024
Finding detailed patterns in neural representations.
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Probing LLMs for Multilingual Discourse Generalization Through a Unified Label Set
Published in arXiv, 2025
Probing large language models for multilingual discourse relation information unifying framework-specific label sets.
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talks
Beyond disinformation: The role of Chinese current affairs commentators on Twitter
Published:
Together with Professor Kristin Shi-Kupfer I talked about our research on Chinese current affairs commentators on Twitter. The talk was part of the 2024 Annual Conference of the Association for Asian Studies (AAS) in Seattle, WA, USA.
Natural Language Processing Meets China Studies. Discovering Patterns in Short Texts Beyond Topics
Published:
I talked about how you can use language processing for text analysis, particularly in China studies. Thanks for all the interesting questions and discussions! Link to post on LinkedIn.
teaching
Lecture Tutor: Mathematics in Computer Science
Undergraduate course, University of Freiburg, Department of Mathematics, 2018
Lecture Tutor: Probability Theory and Statistics
Undergraduate course, University of Freiburg, Department of Mathematics, 2019
Course Homepage: Probability Theory and Statistics WS 2019/20
Lecturer: Trustworthy Data-Centric AI
Graduate course, LMU Munich, 2024
Teaching a lecture on mechanistic interpretability as part of “Profilierungsmodul CL I” of the MSc Computational Linguistics program at LMU.