About Me

I am currently a Ph.D. student in Data Science and Artificial Intelligence at The Hong Kong Polytechnic University, supervised by Prof. KC Tan. My research lies at the intersection of Reinforcement Learning and LLM Reasoning. More broadly, I am interested in Interpretability and Evolutionary Computation with RL (EC + RL).

I received my M.S. in Applied Statistics from Fudan University and my B.S. in Statistics from Sun Yat-sen University. I was fortunate to enjoy research experiences at Tencent AI Lab, advised by Dr. Haobo Fu, where I focused on Policy Diversity in RL; at ByteDance Seed, advised by Xiongcai Luo, where I worked on efficient reasoning and on-policy distillation; and at Amazon Web Services (AWS), advised by Tong He and Tianjun Xiao, where I worked on video object segmentation.

I am always happy to discuss research ideas around RL, LLM Reasoning, Interpretability, and EC + RL. Please feel free to contact me at nigelyaoj@gmail.com.

我目前是香港理工大学数据科学与人工智能方向的博士生，由 KC Tan 教授指导。我的研究兴趣主要集中在强化学习（RL）与大语言模型（LLM）推理的交叉方向，也关注可解释性以及演化计算与强化学习（EC + RL）。

我硕士毕业于复旦大学应用统计专业，本科毕业于中山大学统计学专业。关于研究经历，我有幸在 Tencent AI Lab 参与研究，在 Haobo Fu 指导下关注 RL 中的策略多样性；在 ByteDance Seed 参与 efficient reasoning 和 on-policy distillation 相关研究，由 Xiongcai Luo 指导；也曾在 Amazon Web Services（AWS） 参与 video object segmentation 相关研究，由 Tong He 和 Tianjun Xiao 指导。

欢迎交流 RL、LLM Reasoning、可解释性和 EC + RL 相关研究问题，也可以通过 nigelyaoj@gmail.com 联系我。