Zurich and Bern, Switzerland
Haozhe Luo
Doctoral research in medical imaging, computer vision, and clinically useful AI.
I am a Ph.D. student at the University of Bern, working with Prof. Mauricio Reyes at ARTORG and supported by kaiko.ai. My work sits at the intersection of medical image analysis and robust computer vision, with the practical goal of building models that survive the messiness of real clinical settings.
I completed an M.Sc. in Artificial Intelligence at the University of Zurich in 2024 and a B.Eng. in Computer Science at Sichuan University in 2022. Across projects, I am most interested in representation learning, explainability, trustworthy evaluation, and data-efficient methods for medical decision support.
The long arc of the work is straightforward: develop AI systems for medicine that are not merely accurate on paper, but genuinely useful, accountable, and deployable.
Research Interests
My current work revolves around three threads: clinically grounded image understanding, robust and interpretable modeling, and practical evaluation for deployment. I am especially drawn to problems where models need to reason under uncertainty, distribution shift, or weak supervision.
- Medical image analysis for diagnosis, prognosis, and decision support
- Robust computer vision under domain shift and limited annotation
- Explainable, trustworthy, and clinically meaningful AI systems
Current Direction
At the moment, I am interested in designing data-efficient learning strategies for medical imaging pipelines and in understanding when explanation methods genuinely help clinicians. The underlying question is less about adding another benchmark point and more about making vision models reliable enough to matter in practice.
Selected Updates
- January 2026 One paper accepted at ISBI 2026.
- October 2025 One paper accepted at BIBM 2025.
- May 2025 One paper early accepted at MICCAI 2025 (Oral).
- December 2024 4th place in the MIDRC XAI Grand Challenge as team leader.
- October 2024 One paper accepted at WACV 2025.
- June 2024 One paper accepted at npj Digital Medicine.
- May 2024 One paper accepted at MICCAI 2024 IMIMIC.
- August 2023 One paper accepted at BMVC 2023 (Oral).
- February 2022 One paper accepted at MIDL 2022.
Academic Service
- Reviewer for MICCAI 2025, WACV 2025, AAAI 2025, and ISBI 2026
- Reviewer for MICCAI 2024
Education
- Ph.D. Student, University of Bern (ARTORG), 2024 - present
- M.Sc. in Artificial Intelligence, University of Zurich, 2024
- B.Eng. in Computer Science, Sichuan University, 2022
I am always open to conversations around research collaborations, clinical translation, and rigorous evaluation in AI for medicine.