Vibhav Vineet Principal Researcher Microsoft Research Redmond, WA Email: firstname[dot]lastname[at]gmail[dot]com Google Scholar ,   DBLP

Research

My research focuses on multimodal foundation models and AI agents, with the overarching goal of building more intelligent systems that can perceive, reason, and act in complex digital and physical environments. I am particularly interested in how advances in data and computation can make these systems more capable, generalizable, and efficient as they scale. My work spans synthetic data, learning environments, agent training and evaluation, multimodal reasoning, and efficient inference.

At Microsoft Research, I work on foundation models and AI agents at scale. I co-led Fara-7B and contributed to Fara-1.5, Microsoft's open-weight computer-use agents, as well as Phi-4-reasoning. My earlier research also spans computer vision and synthetic data generation, including Playing for Data, AutoSimulate, and Neural-Sim.