Welcome to Junyu’s Homepage
📝 About Me
I am Junyu Guo (James), a Ph.D. student in the IEOR Department at the University of California, Berkeley, where I am fortunate to be advised by Prof. Javad Lavaei. My research focuses on designing efficient decision-making algorithms for agents operating under uncertainty, with particular emphasis on data-driven sequential decision-making for Large Language Models(LLMs). I am also fortunate to work with Prof. Ming Jin and Dr. Shangding Gu.
Prior to Berkeley, I completed my undergraduate studies in the Department of Mathematical Sciences at Tsinghua University in Beijing, China, where I was advised by Prof. Chenxu Li and Prof. Yiwen Shen on efficient simulation for portfolio allocation in incomplete markets.
During my time at Tsinghua, I was also an exchange student at Cornell University, collaborating with Prof. Andreea Minca and Prof. Qiaomin Xie on reinforcement learning for mean field games.
Beyond research, I am an avid football fan (Manchester City and FC Barcelona), and I enjoy traveling, music, hiking, and playing soccer.
You can find my CV here: Junyu’s CV.
🤖 Research Interests
My current research focuses on:
- Reinforcement Learning: Designing efficient algorithms for sequential decision-making under uncertainty, with emphasis on meta-RL for quick adaptation to non-stationary environments
- Large Language Model Reasoning: Improving LLM decision-making and reasoning capabilities through uncertainty estimation and quantification
- Trustworthy AI: Building AI systems that are interpretable, explainable, fair, and privacy-preserving
💻 Contact Me
Feel free to reach out via email:
- guojyjames (at) gmail (dot) com
- junyuguo24 (at) berkeley (dot) edu
🏆 Awards
- Wolff Fellowship, UC Berkeley, 2024
- Outstanding Graduate, Tsinghua University, 2024