About Me

I am a postdoctoral researcher in the Knowledge Technology Group, University of Hamburg. My research interest is in building robust multimodal language models that generalize to new tasks while retaining previously learned knowledge. My approach is to employ explainable AI and neuro-symbolic AI to elucidate and facilitate the construction of robust models. Previously, I worked on symbolic approaches to AI such as spatio-temporal reasoning and multiagent systems.


Research Experience


  • Dr. rer. nat. in Computer Science, University of Bremen (2009–2013)
  • Visiting PhD student, North Carolina State University (2012)
  • Visiting PhD student, University at Buffalo (2011)
  • Diplom in Mathematics, University of Bremen (2003–2009)
  • DAAD exchange student, Seoul National University (2008)

Selected Publications

: code : arXiv : project page.
Full publication list available on DBLP, Google Scholar, and Semantic Scholar.

(Multimodal) Language Learning

Explainable Artificial Intelligence

Neuro-Symbolic Artificial Intelligence:

Compositional Generalization

Continual Learning

Other Machine Learning Topics

Spatio-Temporal Reasoning and Learning

Multiagent Systems

Recent Teaching Activities

  • Organizer, LLM+XAI Reading Group, Knowledge Technology, University of Hamburg (2024)
  • Lecture on “Transformers and Crossmodal Learning”, University of Hamburg (2023) [Slides]
  • Supervisor, Neural Networks Seminar, University of Hamburg (2023)
  • Organizer, WISDUM meeting, Knowledge Technology, University of Hamburg (since 2021)
  • Supervisor, Bio-inspired Artificial Intelligence Seminar, University of Hamburg (2022)

Thesis Supervision

  • Continual Learning for Language-Conditioned Robotic Manipulation, Lennart Bengtson, MSc (2023)
  • Multivariate Normal Methods in Pre-trained Models for Continual Learning, Hans Hergen Lehmann, BSc (2023) improved version submitted to a journal
  • Generalization of Transformer-Based Models on Visual Question Answering Tasks, Frederic Voigt, MSc (2023)
  • Improving Compositional Generalization By Learning Concepts Individually, Ramtin Nouri, MSc (2023)
  • Learning Concepts a Developmental Lifelong Learning Approach to Visual Question Answering, Ramin Farkhondeh, BSc (2022)
  • Benchmarking Faithfulness: Towards Accurate Natural Language Explanations in Vision-Language Tasks, Jakob Ambsdorf, MSc (2022), now PhD student at University of Copenhagen
  • Tackling The Binding Problem And Compositional Generalization In Multimodal Language Learning, Caspar Volquardsen, BSc (2021), ICANN 2022
  • Learning Bidirectional Translation Between Robot Actions and Linguistic Descriptions, Markus Heidrich, BSc (2021)
  • Using the Reformer for Efficient Summarization, Yannick Wehr, BSc (2020)
  • Generalization in Multi-Modal Language Learning from Simulation, Aaron Eisermann, BSc (2020), IJCNN 2021
  • Commonsense Validation and Explanation, Christian Rahe, BSc (2020)

Blog Posts



Knowledge Technology Research Group
Vogt-Koelln-Str. 30
22527 Hamburg, Germany
Google Maps