Nadieh Khalili
Researcher in Talent Track
Nadieh Khalili has been appointed as a researcher in Talent Track 1 at Radboud University Medical Center. Her research focuses on multimodal medical data analysis as part of the Sectorplan Data-Driven Innovation, bridging imaging to genomics.
Her experience includes radiology AI during her PhD at the qurAI group, where she developed deep learning methods for neonatal and fetal brain MRI. Later, she worked in industry as an AI scientist at ContextVision and Philips, applying AI in pathology. In 2023, she returned to academia and now leads multimodal AI projects within DIAG and CPG, focusing on early prediction of molecular alterations and treatment response from multi-modal data.
Nadieh is an organizer of the CHIMERA challenge at MICCAI, a contributor to the DALPHIN benchmarking initiative, and co-organizer of COMPAYL 2024 and 2025. She teaches a Master’s course on multimodal medical data integration and is pursuing her Basic Teaching Qualification (BKO). She currently supervises multiple PhD and MSc students.
She is a board member of ESDIP, serves on the program committee for SPIE, and is the Executive Event Officer for Women in MICCAI.
- Current research projects: