معرفی
Samuel Kiegeland is a Researcher at ETH Zürich's Institute for Machine Learning, located at OAT W 16, Andreasstrasse 5, 8092 Zürich, Switzerland. His work bridges machine learning with cognitive science, focusing on understanding and enhancing human-AI interaction through eye-tracking and neurophysiological data.
Research Interests
- Machine Learning and Natural Language Processing (NLP)
- Cognitive science applications in AI systems
- Eye-tracking and EEG analysis for model improvement
- Human-in-the-loop learning mechanisms
Recent Work Trends
His publications emphasize multimodal data fusion (EEG/eye-tracking) to improve models like LLMs, with a focus on understanding reading tasks and attention patterns. Recent work (2024-2025) explores novel architectures for information contour analysis in language systems.
Awards & Grants
No awards explicitly listed in provided texts. Active in collaborative projects involving neurophysiological benchmarks (e.g., ZuCo dataset).
Labs/Teams
Affiliated with the Institute for Machine Learning at ETH Zürich, contributing to interdisciplinary research at the intersection of AI and cognitive neuroscience.
