Yiming Dong
AI4Astrophysics & LLM
School of Physics, Peking University
About Me
I am currently a third-year PhD student in the School of Physics at Peking University , advised by Prof. Lijing Shao . I received my bachelor's degree in Astrophysics from the School of Physics at Peking University in 2023. My research focuses on AI-driven astrophysical data analysis and the use of large language models to accelerate scientific discovery, including related post-training researches.
Research Interests
My research interests center on statistical inference and artificial intelligence. Statistical inference refers to the process of using data analysis to infer properties of an underlying probability distribution. This principled methodology plays a central role in gravitational-wave astronomy, where statistically faithful conclusions must be drawn from diverse observational data.
I am also interested in artificial intelligence and its applications, including the use of AI to accelerate gravitational-wave data analysis and the exploration of large language models in gravitational-wave astronomy. In addition, I am interested in related post-training techniques for large language models, including how reinforcement learning can be used to enhance model reasoning capabilities.
Statistical Inference
- Bayesian Inference for Gravitational Waves
- Tests of Gravity
Artificial Intelligence
- AI for Astrophysics
- Large Language Model Reasoning & Reinforcement Learning
Publications
(* indicates equal contribution; † indicates corresponding author)
Education
Ph.D. in Astrophysics
School of Physics, Peking University
2023 - Present
(Proposed) Thesis: Scientific Explorations of Future Gravitational-wave Detections with Artificial Intelligence
B.S. in Astrophysics
School of Physics, Peking University
2019 - 2023
Internship
Internship | 2025.03 - 2026.04
Alibaba Cloud Intelligence System
Large Language Model Reasoning & Reinforcement Learning
Internship | 2026.04 - now
Tongyi Lab, Alibaba Token Hub (ATH)
Reinforcement Learning & LLM Agent
Awards
2025 · Outstanding Teaching Assistant for Undergraduate Courses
Teaching Assistant for Course Electrodynamics (A) .