Celine Vens
MACHINE LEARNING AND AI
Celine Vens
Contact information
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Public health and Primary Care,
KU Leuven Campus Kulak Kortrijk,
room 00.1105 - celine.vens@kuleuven.be
- +32 56 24 64 98
Curriculum Vitae
Functions
- associate professor Faculty of Medicine
- head of the Subdivision itec Machine Learning and Artificial Intelligence
- member of the Division itec
- member of Leuven.AI – KU Leuven Institute for Artificial Intelligence
- programme director of Onderwijscommissie Bachelor Biomedische Wetenschappen Kulak – Faculty of Medicine
Celine Vens is professor at KU Leuven campus KULAK and leading the machine learning and AI subgroup at itec. Her main research interest is the development of machine learning algorithms for applications in health and education. She focuses on non-standard supervised and semi-supervised learning tasks, such as multi-output prediction, time-to-event prediction and interaction prediction. Besides research, she is teaching several courses at the Faculty of Medicine and is programme director of the Bachelor in Biomedical Sciences at KULAK.
involved projects
Smart alarms in a hospital setting
Data in various domains is two-dimensional: there are two data types and the values of interest
NewsButler
Personalized, user-controlled news distribution based on conversational user interfaces to drive user engagement, conversion and retention. An imec-project (2019-2021).