I am a Ph.D. candidate at the Institute for Brain and Cognitive Sciences and the Department of Automation at Tsinghua University, advised by Prof. Qionghai Dai.
My research lies at the intersection of computational neuroscience and machine learning. I am particularly interested in how models trained on large-scale calcium-imaging recordings can generalize across sessions, animals, datasets, experimental paradigms, and species—and how the resulting representations can reveal functional organization in neural systems.
Research themes
- Neural population dynamics and forecasting
- Foundation-style models for functional neural recordings
- Cross-dataset and cross-species representation learning
- NeuroAI and biologically grounded machine learning
- Computational analysis of behavior and neural function
Education
Ph.D. Candidate, Tsinghua University
Institute for Brain and Cognitive Sciences; Department of Automation, 2023–present.
B.Eng. in Automation, Tsinghua University
Department of Automation, 2018–2023.
Selected recognition
- Second Prize, 67th Tsinghua University “Chuang+” Project Roadshow, Project NeuroX, 2025.
- Academic Excellence Scholarship, Tsinghua University, 2020 and 2021.
- Reviewer, ICML 2026.
For a structured record of publications, education, service, and skills, download my CV.