Vasu Sharma
Principal Investigator
Vasu Sharma is a Research Scientist Lead at Meta with the Fundamental AI Research (FAIR) team, where he co-authored the state-of-the-art vision model DINOv2 as one of the tech leads and is currently working on Llama 4.
He leads applied research at Meta AI focusing on 100B-parameter LLMs and self-supervised vision and audio-video systems. He serves as tech lead for Llama 3/4, Chameleon, and MoE initiatives, building multimodal foundational generative AI models.
Vasu has published 50+ papers across top AI conferences like NeurIPS, CVPR, ACL, EMNLP, TMLR, ICLR, NAACL, and COLM, garnering over 7,000 citations. He serves as NeurIPS Area Chair and Reviewer.
Previously, Vasu was a researcher on the Alexa AI team at Amazon Lab126 and a quantitative researcher at Citadel. He graduated from IIT Kanpur with a Bachelor's in Computer Science and Engineering, then completed his Master's in Machine Learning and AI at Carnegie Mellon University's Language Technologies Institute, graduating top of his class.
Begin Your Journey
The application takes 10 minutes and is reviewed on a rolling basis. We look for strong technical signal—projects, coursework, or competition results—and a genuine curiosity to do real research.
If admitted, you will join a structured pipeline with direct mentorship to take your work from ideation to top conference submission at venues like NeurIPS, ACL, and EMNLP.
