Nadieh Khalili is an Assistant Professor in Artificial Intelligence at Radboud University Medical Canter, driven by AI innovations for healthcare and precision medicine. Her research focuses on developing multimodal AI methods that integrate histopathology, medical imaging, and molecular data to enable earlier diagnosis and more personalized cancer treatment.
She is a strong advocate for open science and actively contributes to building shared benchmarks, open evaluation frameworks, and collaborative infrastructures that accelerate responsible AI adoption in healthcare. Working closely with clinicians and international consortia, Nadieh is passionate about translating AI innovation into real-world impact.