I’m an AI researcher at Meta Superintelligence Labs (MSL). My work sits at the intersection of foundation models and scalable learning systems—especially multimodal training and vision representation learning.

At FAIR (Facebook AI Research), I worked on foundation perception models, co-authored AI Habitat, and tackled embodied learning problems (navigation, rearrangement, sim-to-real) and language grounding in 3D from raw sensor data (Locate3D).

I care about turning large-scale training into reliable capabilities: strong representations, robust generalization, and systematic evaluation—bridging research and the engineering required to make models work in practice.

I organized the CVPR Embodied AI Workshop and review for major ML/CV venues (CVPR/ICCV/ECCV, NeurIPS, ICLR, ICML).