Scholar
Mateusz Jurewicz
Google Scholar ID: VYr8R8wAAAAJ
Ph.D., IT University of Copenhagen
Citations & Impact
Citations
31
H-index
3
i10-index
1
Publications
7
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- DarkBench: Benchmarking Dark Patterns in Large Language Models, ICLR 2025
- Artificial Intelligence and Privacy: Causes for Concern, PSJ 2024
- The Catalog Problem: Clustering and Ordering Variable-Sized Sets, ICML 2023
- Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction, IJCAI-ECAI 2022
- PROCAT: Product Catalogue Dataset for Implicit Clustering, Permutation Learning and Structure Prediction, NeurIPS 2021
- Set-to-Sequence Methods in Machine Learning, JAIR 2021
Research Experience
- Worked at scale-ups like Tjek A/S and large tech companies like Intel.
Education
- Ph.D. in Computer Science from IT University of Copenhagen, advised by Professor Leon Derczynski. Also advised by Professor Graham Taylor during a research stay at the Vector Institute for Artificial Intelligence and the University of Guelph’s Machine Learning Research Group in Canada.
Background
- Senior Machine Learning Engineer and AI Researcher interested in safely deploying AI models to help understand and solve real-world challenges. Research interests include generative models (NLP, LLMs) and reinforcement learning, with a focus on building multimodal, scalable, and interpretable intelligent systems. Other research interests include technical AI safety, mechanistic interpretability, and scalable oversight.
Miscellany
- Contact: Email: mateusz.jurewicz@gmail.com, Phone: (+45) 20 88 35 32
