Anne de Hond

Anne de Hond is an assistant professor in the data science program of the Julius Center at the UMC Utrecht. She completed a master's degree in econometrics and worked as a data scientist and researcher in the AI team at Leiden UMC’s CAIRELab during her PhD research. Her research focuses on the responsible development, validation, and implementation of AI algorithms in healthcare. Amongst other applications, she developed AI models to predict hospital admission at the emergency department and depression risk in oncology patients. She also collaborated with various AI startups to investigate the practical implementation of their software. Her current research focusses on validation methods for clinical AI, including large language models like ChatGPT, as well as explainability and fairness of AI algorithms.