About

I am a Research Scientist at Luma AI, where I work on post-training and agentic systems for multimodal and physical AI. My current work includes an agent-as-policy framework for robotic manipulation and a multimodal design agent for infographic generation.

Previously, I worked on Foundation AI at LinkedIn, focusing on cross-episode meta-RL, tool-use search agents, preference optimization, on-policy distillation, and efficient production LLM systems. I am especially interested in LLM agents, post-training, and efficient model training and inference.

News

  • Joined Luma AI to work on foundation models and physical AI.
  • Released Cross-Episode Meta-RL for LLM in-context online learning.
  • Contributed to open-sourcing FMChisel, a research library for foundation-model compression and distillation.
  • AlphaPO appeared at ICML 2025.

Selected Work

A robotic arm performing a tabletop manipulation task in a research lab

Agent as a Policy for Physical AI

Luma AI · Physical AI

Project · release soon

A multimodal AI system transforming visual and text inputs into HTML code and a polished infographic

Multimodal Design Agent

Luma AI · Generative models · Reward modeling

Post-trained a VLM with RL to generate polished HTML infographics and developed a reward model aligned with human aesthetic preferences.

Diagram comparing isolated RL training with multi-episode meta-RL

Cross-Episode Online Learning

Meta-RL

Improved how LLMs learn from context and adapt across episodes using cross-episode reinforcement learning.

A search agent traversing connected information sources, calling tools, synthesizing an answer, and applying rubric-based evaluation

Tool-Use Search Agent

Synthetic data · Agent evaluation · Agentic RL

Graph-based query and answer generation, rubric-based evaluation, and agentic RL training in verl.

FMChisel GitHub repository preview

FMChisel

LinkedIn · LLM efficiency · Open source

Contributor to an open-source research library for efficient foundation-model algorithms, including compression, distillation, pruning, quantization, and efficient training.

Selected Publications

  1. 2026
  2. 2025
  3. 2025
  4. 2024
  5. 2024

Experience

Luma AI
Research Scientist, Foundation Models

LinkedIn
Senior / Staff Research Engineer, Foundation AI

LinkedIn
Machine Learning Engineer, Ads Ranking

Education

Carnegie Mellon University
M.S. in Computational Data Science, 2021

Zhejiang University
B.E. in Software Engineering, 2019