Cornelius Wolff – PhD Researcher in AI, Insight Retrieval, and Reinforcement Learning
Welcome! I’m Cornelius Wolff, a PhD researcher at the TRL Lab at the Centrum Wiskunde & Informatica (CWI) and the University of Amsterdam, under the supervision of Madelon Hulsebos and Maarten de Rijke. My work centers on Insight Retrieval from Structured Data, in which I investigate AI models and pipelines that can deal with all kinds of structured data like databases, csv files etc. I’m furthermore deeply interested in AI in education. In-Context Learning and efficient machine learning.
Research Interests
- Insight extraction from structured/tabular data
- Small and interpretable language models
- In-Context Learning outside of Natural Language Processing
- AI for education and learning personalization
Education
- PhD in Maschine Learning, CWI & University of Amsterdam (2025–present)
- M.Sc. in Cognitive Science, Osnabrück University (2021–2025, Overall Grade: 1.0, Thesis: 1.0)
- B.Sc. in Information Systems, Osnabrück University (2018–2021, Overall Grade: 2.1, Thesis: 1.0)
Recent Projects
- SynthEddix – AI-powered personalized learning platform (Python, React Native)
- EBIMAS – Emergent behavior in multi-agent systems, RL in MuJoCo
- SNN Routing Optimization – Neuron placement for 3D neuromorphic hardware
- From Pixels to Actions – Visual feature extraction in RL environments
Selected Publications
- How well do LLMs reason over tabular data, really? (ACL TableRep Workshop 2025)
- GRASP: Benchmark for Multimodal Language Models (IJCAI 2024)
- PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifiers (arXiv 2025)
- See full publication list →
Technical Skills
Languages/Frameworks: Python, PyTorch, TensorFlow, TypeScript, Tailwind CSS, SQL
Other: Git, Bash, LaTeX, Reinforcement Learning, Retrieval-Augmented Generation (RAG)
Let’s Connect
Thanks for stopping by — feel free to explore my projects, talks, and CV.