Martijn Kersloot
About Martijn Kersloot
Martijn Kersloot is a Product Owner in Data & Innovation at Castor and an Assistant Professor of Medical Informatics at Amsterdam UMC. He holds a PhD focused on FAIR data principles and has extensive experience in both academic and industry settings, contributing to advancements in clinical data management systems.
Current Role at Castor
Martijn Kersloot serves as Product Owner for Data & Innovation at Castor, a position he has held since 2015. In this role, he focuses on enhancing the Clinical Data Management System by integrating innovative data solutions. His work aims to improve the efficiency and effectiveness of data management in clinical research.
Academic Background and Expertise
Martijn Kersloot studied at the University of Amsterdam, where he earned a Bachelor of Science (BSc) in Medical Informatics from 2014 to 2017. He continued his education at the same institution, achieving a Master of Science (MSc) in Medical Informatics from 2017 to 2019. He further pursued a Doctor of Philosophy (PhD) in the same field from 2017 to 2021, focusing on FAIR data principles and semantic interoperability in medical research.
Experience at Amsterdam UMC
Since 2017, Martijn Kersloot has worked at Amsterdam UMC as an Assistant Professor in Medical Informatics. His role combines academic responsibilities with industry experience, allowing him to train future medical informaticians while contributing to the development of data management systems. He previously served as a Teaching Assistant in the same department from 2015 to 2016.
Previous Experience and Contributions
Martijn Kersloot has held various roles that enhance his expertise in medical informatics. He worked as a Health Information Science co-op student at the University of Victoria for three months in 2017. In 2020, he was a Visiting Researcher at the Stanford Center for Biomedical Informatics Research for two months. His contributions include emphasizing the importance of collecting machine-readable data in clinical research and introducing the FAIR Data Principles.