Haohong Lin

Haohong Lin

PhD Candidate

Carnegie Mellon University

I am a fourth-year PhD student of SafeAI Lab at Carnegie Mellon University, and a Master in Machine Learning at School of Computer Science, advised by Professor Ding Zhao. I also work closely with Professor Bo Li and Huan Zhang from UIUC. My current research interest lies in the model-centric, data-centric and preference-centric approaches for reinforcement learning on foundation model reasoning, with some exciting(!) applications in autonomous driving and embodied agents. Prior to CMU, I receive my B.S. Degree with highest honor in Automation (Robotics Track) from Zhejiang University in 2021. I also spent wonderful time collaborating with Huajie Shao, who is working at William and Mary as tenure-track assistant professor.

Education

  • PhD at SafeAI Lab, 2021-

    College of Engineering, CMU

  • MS in Machine Learning, 2021-2024

    School of Computer Science, CMU

  • BS in Automation (Robotics), 2017-2021

    Department of Control Science and Engineering, ZJU