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Resume (English only)
Academic Achievements
- - Multiple publications in cognitive-inspired Bayesian deep learning (e.g., NeurIPS 2022, ICML 2021, ICML 2020, AAAI 2019)
- - Research in AI for health and education (e.g., MICCAI 2025, IEEE Transactions on Medical Imaging 2025, ACL 2024, Transactions of Machine Learning Research 2022)
- - Work on AI safety and trustworthiness (e.g., AAAI 2026, Calibration of LLM-based guard models for reliable content moderation)
Research Experience
- - Assistant Professor at the Department of Public Health, Section for Health Data Science and AI, University of Copenhagen
- - Member of the Machine Learning & Global Health Network
- - Leader of the Scientific AI Group
Background
- - Assistant Professor in the Department of Public Health, Section for Health Data Science and AI, University of Copenhagen
- - Part of the Machine Learning & Global Health Network, working closely with Prof. Samir Bhatt and Prof. David Duchêne
- - Leads the Scientific AI Group, focusing on integrating large language Bayesian deep learning with fundamental scientific principles to advance reasoning, reliability, adaptability, and self-evolution of scientific AI systems
- - Research spans natural language processing, computer vision, and a broad range of scientific applications, particularly in public health
- - Vision is to pioneer AI technologies that are not only driven by big data and large models but also deeply rooted in scientific principles and aligned with societal values
Miscellany
- - Open to collaborations in any form—research partnerships, interdisciplinary projects, or mentoring enthusiastic students
Co-authors: 0 (list not available)