Aditya Khosla

Aditya Khosla is a computer vision researcher whose work on self-supervised and transfer learning methods has influenced the development of pathology foundation models. His contributions to visual recognition and representation learning underpin approaches used for cancer tissue analysis at scale. He has advanced methods for adapting general-purpose vision models to specialized medical imaging domains including digital pathology.