Hi, I’m He Wang, a fourth-year PhD candidate in the Department of Electrical and Computer Engineering at Carnegie Mellon University, where I am fortunate to be advised by Prof. Yuejie Chi and Prof. Gauri Joshi.

My current research focuses on improving data efficiency and robustness in reinforcement learning (RL), with both provable guarantees and practical impact. I have also worked on multi-agent systems, with a focus on communication efficiency, data heterogeneity, and incentive design for collaboration. During my Ph.D., I have interned at Amazon AWS, where I worked on RL post-training and agentic systems, applied to automatic prompt optimization and code generation for data science and machine learning tasks.

Prior to CMU, I received a M.Eng. (with honors) from the University of Chinese Academy of Sciences advised by Prof. Jie Lu, and my B.Eng. (with honors) in Computer Science from ShanghaiTech University.

If you’re interested in collaborating or talking further, feel free to contact me!

CV