Jiaming Ji (吉嘉铭)

Phd Student at Peking University

Reinforcement Learning & Alignment
Large Language Models & Safety
World Model & Multimodal Large Language Models

Email: jiamg.ji at gmail dot com or jiamg.ji at stu.pku.edu.cn

[Google Scholar][GitHub]

I'm a PhD student at the Institute of Artificial Intelligence, Peking University, advised by Prof. Yaodong Yang (both a good teacher and a helpful friend in my life). In parallel, I am also a visiting scholar at the Hong Kong University of Science and Technology, advised by renowned computer scientist Prof. Yike Guo. My research focuses on Reinforcement Learning, Large Language Models, Multimodal Models and Safety Alignment, with a strong emphasis on bridging academic advances and real-world deployment. I have contributed to the open-source and real-world deployment of several large-scale models, including Baichuan2, the Hong Kong AI Model HKGAI-v1, the Pengcheng Brain model, and the medical triage model MedGuide. Notably, MedGuide has been deployed in hospitals and is actively supporting doctors and nurses in emergency triage—something I take great pride in beyond my academic achievements.

In 2025, I was honored to be selected as an Apple Scholar in AI/ML, mentored by Rin Metcalf Susa and Natalie Mackraz. In 2024, I received the first batch of National Natural Science Foundation funding for the Youth Student Basic Research Project (Ph.D. track), as the sole awardee from Peking University in the field of intelligence. Prior to my Ph.D., I conducted research on neuromorphic computing and brain-computer interfaces with Prof. Gang Pan at Zhejiang University. I began my research journey focusing on safe reinforcement learning and won the championship in the NeurIPS 2022 MyoChallenge for robotic dexterous manipulation.