Uni-1 is a multimodal reasoning model that understands intention, responds to direction, and generates pixels.
Research Scientist at Luma AI
Multimodal AI · Embodied AI · Generative Models · Recursive Self-Improvement
I am a Research Scientist at Luma AI, where I work on multimodal and embodied AI. I am a founding researcher on Project Opal, Luma's open physical AI initiative, and a core contributor to Uni, Luma's unified multimodal reasoning and generation model. I received my Ph.D. in Computer Science from the University of Maryland, College Park, advised by Prof. Abhinav Shrivastava, in 2025.
My research focuses on model training and data curation for multimodal and embodied AI, visual generation and video representation learning, and recursive self-improvement for embodied agents.
Uni-1 is a multimodal reasoning model that understands intention, responds to direction, and generates pixels.