Tim studied Biology at Radboud University Nijmegen, with a strong medical-biological component. After internships in Molecular Animal Physiology and Bioinformatics, he decided to further develop in Bioinformatics.
After working as a Bioinformatician for one year at the pharmaceutical company N.V. Organon in Oss, he pursued both a PhD and Post-Doc at Radboud University Nijmegen, in collaboration with N.V. Organon (later Schering-Plough).
In 2009, he was hired as a Bioinformatician at Philips Research in Eindhoven. Subsequently, he held several scientific positions within Philips Research, initially mainly in the field of data management and big data in oncology, but later also in data science and artificial intelligence. He has also led projects, co-authored international project proposals, and led work packages within grant projects.
From 2015 to 2018, he was a guest scientist one day a week in the Urology department at Erasmus MC. Tim is the author of more than 50 scientific publications and regularly gives lectures.
Additionally, he has been a Guest Editor for several scientific journals, which has also led to the publication of several books. He is also an Editorial Board Member of BMC Cancer and Frontiers in Medicine and Public Health, and regularly acts as a reviewer of scientific publications.
Since June 2024, he has combined the role of Lecturer in AI & Data Supported Healthcare at the Knowledge Center for Healthcare Innovation with his role as Senior Data & AI Scientist at Philips.
Dr. Tim Hulsen
Professor AI & Data Supported Healthcare
Tim Hulsen is professor of AI & Data Supported Healthcare at Research Centre Innovations in Care, and involved in the HR Datalab Healthcare. His research focuses on the application of data science and artificial intelligence (AI) in healthcare, for both patients and medical professionals. He emphasizes the importance of good data quality (achieved through good data management, following the FAIR Guiding Principles, and using ontologies and standards) and the explainability and responsible use of AI. His most recent interest lies in the field of generative AI (GenAI). In this, he seeks to connect not only various research groups and departments within Rotterdam University of Applied Sciences but also with the medical-technological sector in which he is active through his other role as a scientist at Philips.