Naimeng Ye

I work on scalable training and deployment of LLM agents. I build synthetic tool ecosystems and verifiable post-training RL environments, and develop methods to reduce latency in multi-step agent workflows without sacrificing correctness. I also work on personalization, uncertainty for sequential models, and causal inference under network interference.