Training real-time multimodal agents. Research Scientist, Meta Superintelligence Labs · 2025–
I train real-time multimodal agents that talk, listen, and act while the interaction is still going. I build the tasks, synthetic data, and rewards, then train with RL.
At 
Meta Superintelligence Labs I co-lead post-training and lead synthetic data for Muse Realtime Avatar, and developed offline RL for Vibes’ personalized feed. Before that, I worked on Visual Intelligence at 
Apple and foundation models at 
MIT-IBM Watson. I got my Ph.D. in Computer Science at 
MIT, and B.A. in Physics at 
UC Berkeley. Outside work I read, write, bike, and hike.
A live, expressive avatar that talks with you in real time. It's audio-driven, streams as you talk, and is fast enough to hold a real conversation. Announced in Mark Zuckerberg's Meta Connect keynote.
A feed of AI-generated short videos in the Meta AI app, where anyone can create and remix. Personalized with preference learning and offline RL.
Ask about anything your iPhone sees, answered on device by Apple's foundation model. Shipped in Apple Intelligence at WWDC 2025.
Given a target capability, synthesize the tasks, the environment, and the reward, then train with RL. No labeled dataset required; the task definition is the input.
JetMoE-8B, an open-source mixture-of-experts model trained for a fraction of the usual cost on a curated mix of public real and synthetic data. Its chat model beats Llama2-13B-Chat on MT-Bench.
A small on-device model that breaks a request into steps for an action model to carry out, so a phone agent can plan without the cloud.
All publications → · Google Scholar →
Muse voice and expressive avatars are rolling out in the Muse app in the US, on mobile, web, and Mac, powered by Muse Realtime Voice and Muse Realtime Avatar.
Read more →Muse Wonder released, Meta Superintelligence Labs’ most capable model series for personal and professional agents, built around Active Memory and Active Focus.
Read more →Muse Realtime Voice and Avatar announced at the Meta Connect 2026 keynote: one streaming system for conversation, speech, and a live, expressive avatar. I co-lead post-training and lead synthetic data for Muse Realtime Avatar.
Read more →When execution gets cheap, direction gets expensive. Why long-horizon agents need a purpose model, and how you would evaluate one.
People rarely feel quality. They feel fit. What the GPT-5 launch, Sora and ChatGPT's sycophancy rollback say about why Muse took off.
When the headline metric becomes output per dollar, a technology has become a utility. Intelligence just did, and the money will go where it always goes: upstairs.
