Welcome to Junyu’s Homepage

📝About Me

My name is Junyu Guo (James), and I am currently a Ph.D student at IEOR department of University of California, Berkeley. I am fortunate to be advised by Prof. Javad Lavaei, I will dedicate myself to design more efficient decision-making algorithms for agents under uncertainty.

My research interest includes data-driven sequential decision making and stochastic modelling. Prior to arriving at Berkeley, I was an undergraduate student in the Department of Mathematical Science of Tsinghua University in Beijing, China. During my undergraduate studies, I am been advised by Prof. Chenxu Li, Prof. Yiwen Shen on efficient simulation for Portfolio Allocation in Incomplete Market.

I have also been an exchange student at Cornell University, where I was advised by Prof. Andreea Minca and Prof. Qiaomin Xie, where we were working on RL for Mean Field Game.

During my leisure time, I am a football fan of Manchester City and FC Barcelona, I enjoy travelling and music as well. I am also a fan of outdoor activities, I’m really fond of hiking and playing soccer.

You can find my CV here Junyu’s CV.

🤖Research Interests

  • Meta RL: Quick adaptation to non-stationary MDP using the previously learned knowledge.
  • Trusworthy AI: Building AI systems that are understandable and explainable, while addressing fairness and privacy concerns.

💻Contact Me

To contact me, feel free to send me an email.

  • guojyjames (at) gmail (dot) com
  • junyuguo24 (at) berkeley (dot) edu

🏆Awards

  • Wolff Fellowship awarded by UC Berkeley, 2024
  • Outstanding Graduated Undergrad of Tsinghua University, 2024