معرفی
Oliver Yibing Chén is an Assistant Professor with conditional pre-tenure at the associate professor level at the University of Lausanne (UNIL), Faculty of Biology and Medicine, based at the Department of Immunology and Allergy of CHUV. His research bridges statistics, machine learning, and neuroscience, focusing on biomarker discovery for conditions such as Alzheimer's disease, Parkinson’s disease, multiple sclerosis, psychosis, and sleep disorders. He leads two teams: Beyond bio-X for methodological research and Alpha Analytika for translating innovations into affordable medical devices and free health applications.
Education:
- PhD in Engineering, University of Oxford
- Master in Biostatistics, Johns Hopkins University
- Master in Mathematical Statistics, University of Washington
- Research Associate in Psychology, Yale University
- Research Assistant in Theoretical Statistics, Northwestern University
- Honorary Fellow in Neurobiology, University College London
His research focuses on developing novel statistical and machine learning frameworks for high-dimensional biomedical data, particularly in neuroimaging and digital phenotyping. His work emphasizes explainability, data fusion, longitudinal modeling, and clinical translation. He has previously held an Assistant Professor position in Artificial Intelligence and Big Data Analytics at the University of Bristol, where he attained tenure in 2022 before moving to Switzerland in 2023.
The most recent publications highlight a strong trend in multimodal learning, explainable AI for neurodegenerative diagnosis, brain connectivity analysis, and digital health applications. Key themes include Alzheimer’s disease prediction, sleep staging, Parkinson’s monitoring via smartphones, and statistical methodology for high-dimensional mediation and multiple testing. His work frequently involves collaboration with clinical and neuroscience research groups.
Scientific Contributions:
- Development of methods for brain variability analysis
- Innovations in multimodal data fusion (e.g., VisTA, OPTIMUS)
- Advancements in sleep staging using deep learning (e.g., SleepTransformer, SeqSleepNet)
- Statistical frameworks for digital health and remote disease monitoring
- Foundational work on high-dimensional mediation and causal inference in neuroscience
Dr. Chén mentors PhD students and emphasizes the growth and development of his advisees. He has collaborated extensively with researchers across institutions and disciplines. His teams work on both theoretical advancements and practical implementations, aiming to make healthcare more accessible through technology. He also engages in watercolor and oil painting as a personal pursuit.
Research Teams:
- Beyond bio-X: Focuses on research in statistical and machine learning theory and applications.
- Alpha Analytika: Translates research into affordable medical devices and free health apps.
