معرفی
Julien Audiffren is a Lecturer and Senior Researcher in the Department of Informatics at the University of Fribourg. His research focuses on machine learning applications in biomedical engineering, human perception, and data analysis. He holds roles in both education and research, contributing to interdisciplinary projects in informatics and health sciences.
His research interests span machine learning methodologies, including multi-label classification, adaptive algorithms for perception quantification, and applications in sports science and healthcare. He has published extensively on topics such as postural control, fall prediction, and virtual reality training systems.
Recent work emphasizes the development of robust adaptive procedures for threshold estimation in neuroscience experiments and the use of large language models for semi-structured data cleaning. His contributions bridge computational methods with practical applications in health monitoring and sports performance analysis.
No scientific awards or grants are explicitly mentioned in the provided information. He is affiliated with the Interfaculty Informatics Department and collaborates on projects involving wearable sensors and AI-driven health solutions.