Li Jiang
Ph.D. in Operation Research
About me
Welcome to my homepage! I am Li Jiang (姜力 in Chinese). I am a Ph.D. student at the Desautels Faculty of Management, McGill University, Canada. I am advised by Yichuan Ding. Prior to McGill, I graduated from Tsinghua, where I worked with Wai Kin (Victor) Chan and Xianyuan Zhan.
My research interests lie at the intersection of reinforcement learning and operations management and I am passionate about building intelligent agents for real-world applications. Currently, I mainly focus on fine-tuning LLMs using reinforcement learning with human feedback (RLHF) and I maintain a github source for current papers.
Awards
- Shenzhen Universiade International Scholarship, 2023.
- Standard Existential Risk Initiative Research Fellowship, 2022.
Teaching
- TA, MGCR 307 Operation Management, McGill University,Fall 2023.
News
- One paper related to offline RL is accepted to NeurIPS 2023.
- One paper related to offline RL is accepted to ICLR 2023.
- One paper related to offline RL is accepted to NeurIPS 2022.
Misc
I love mountain climbing as it allows me to witness the awe-inspiring vastness of the universe from great heights. Feel free to reach me at li.jiang3@mail.mcgill.ca (research) or jiangli3859@gmail.com (personal).