I'm interested in statistical machine learning, especially Reinforcement Learning. My current research focuses on bridging the gap between the real world applications and RL, with a focus on RLHF, efficient fine-tuning methods for language models and generative diffusion models. Besides, I also have a long term goal of understanding RL from principled perspectives.