Julian Quevedo

Julian Quevedo is an undergraduate researcher at Stanford University focused on deep learning. He co-created Oasis, an interactive real-time world model that generates gameplay autoregressively from user input using diffusion transformers, developed in collaboration with Decart and Etched. He has also worked on large language model inference optimization at Cohere and MosaicML, and as a researcher at World Labs.