Bio
Camila González is a postdoctoral scholar at the Computational Neuroscience Laboratory at Stanford University. Her aim is to develop methods that allow the continual training of deep learning models for neuroimaging applications, suitable for dynamic settings with ongoing data collection. She has received multiple distinctions, including the MICCAI Young Scientist Award and the Best Presentation Award at the EuSoMII annual meeting. Her work was featured in outlets such as the Computer Vision News magazine and the AI-Ready Healthcare podcast. Outside her research, she presided the MICCAI student board for two years and was DEI chair in the first edition of the ContinualAI Unconference.
