Liesbet dreams of a world where one day every single person gets the treatment they deserve in a timely manner. She is convinced that we have to supercharge our healthcare system with insights gained from Big Data. Her research focuses on developing big data sharing procedures and artificial intelligence algorithms with a specific focus on real-world evidence. She is assistant professor (tenure) at the Biomedical Research Institute and Data Science Institute of Hasselt University. In 2013, she finished her PhD in Bio-Engineering Sciences at the KULeuven in Belgium. She is a member of the ELIXIR community focusing on constructing a sustainable infrastructure for sharing biological information throughout Europe. She is the chair of the MS Data Alliance initiative, a global non-for profit organisation aiming to overcome all challenges that arise with scaling-up real-world data in the field of multiple sclerosis (MS). Through the MS Data Alliance Academy activities, she aims for increased awareness about the value of real-world data, community building and promoting trustworthy and transparent practices. She is a board member of AI4Health working group within the AI4Belgium initiave and leads the use case MS within the Flanders AI research program. As a core group member of the “Data Saves Lives” initiative, she is involved in setting up a large-scale multi-stakeholder awareness raising campaign on health data in Europe.