About me
Hi, thanks for visiting my homepage!
I'm a postdoctoral researcher working with Jeff Schneider at the Robotics Institute (RI), Carnegie Mellon University. My recent focus is on Tokamak plasma control in nuclear fusion. Our goal is to design better feedback control policy via RL and broader ML-based approaches.
I received my PhD degree in Computer Science and Engineering at The Chinese University of Hong Kong (CUHK), where I’m blessed to be under co-supervision of Farzan Farnia and Ho-fung Leung. My PhD thesis focuses on provably efficient reinforcement learning (RL) and its applications to the evaluation and selection of generative AI models. I obtained a Bachelor’s degree in Statistics from Sun Yat-sen University (SYSU) in Guangzhou, China.
Research Interests
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Tokamak Plasma Control
How can we design better feedback control of Tokamak plasma via RL?
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Provably efficient RL
How optimal behaviors be sample-efficiently learned?
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Generative AI
How can RL and online learning assist the training, generation, and evaluation of generative models?
