Bio
Camila González is a postdoctoral scholar at the Computational Neuroscience Laboratory at Stanford University, where she develops continual learning methods suitable for dynamic settings with ongoing data collection. Her work has received multiple distinctions, including the MICCAI Young Scientist Award, the Francois Erbsmann Award at the Information Processing in Medical Imaging (IPMI) conference, and the Bildverarbeitung für die Medizin (BVM) award. She has been featured in outlets such as the Computer Vision News magazine and the AI-Ready Healthcare podcast. Outside her research, she presided over the MICCAI student board for two years and acted as Diversity, equity, and inclusion (DEI) chair for ContinualAI. Last year, she co-organized the first MICCAI tutorial on Dynamic AI in the Clinical Open World (DAICOW), which will have its second edition in MICCAI 2024.
