معرفی
Hans Moen is a Research Fellow in the Department of Computer Science at Aalto University, affiliated with the Professorships of Marttinen P. and Kaski Samuel. His research focuses on natural language processing (NLP) applications in healthcare, including clinical documentation analysis, stigmatizing language detection in medical records, and transformer-based deep learning for health trajectory modeling. Moen has contributed to interdisciplinary projects involving nursing informatics, healthcare disparities, and predictive modeling in clinical settings.
Research Interests: His work bridges computer science and healthcare, emphasizing:
- NLP techniques for clinical text analysis
- Health equity through language bias detection
- Machine learning for longitudinal health data
- Automated clinical documentation systems
Prominent contributions include identifying racial/ethnic disparities in birth clinical notes (2025) and developing self-supervised summarization methods for nursing records (2024). His 2023 Aalto SCI award recognized excellence in teaching assistantship.
Collaborations span healthcare institutions and interdisciplinary teams, addressing challenges in electronic health records, patient risk prediction, and clinical decision support systems.
