CV
PhD student in Biomedical Engineering at Peking University, working on biomedical AI, causal world models, causal discovery, and causal inference.
Education
- Peking University, College of Future Technology — PhD student in Biomedical Engineering, 2025–2029
- Institute of Automation, Chinese Academy of Sciences — MEng in Social Computing, 2021–2024
- North China Electric Power University — BEng in Computer Science and Technology, 2017–2021
GPA 91.46, ranked 1/119; National Scholarship; Outstanding Graduate
Research expertise
- Causal representation learning and causal world models
- Causal discovery and supervised causal learning
- Counterfactual estimation and heterogeneous treatment effects
- Temporal causal inference and precision medicine
- Deep learning for biomedical and social systems
Selected publications
- First author, Nature Communications (2026): temporal causal inference for precision medication
- First author, ACM Computing Surveys (2025): deep causal learning across representation, discovery, and inference; 2025 Impact Factor: 30.4 (ranked 1/146 in Computer Science Theory & Methods)
- Co-author, AISTATS (2025): identifiable structures for supervised causal discovery
- Co-author, ICLR (2025): intrinsic neuronal representations from dynamics
Honors and competitions
- Bronze Award, 2nd Huawei PCIC Causal Inference Challenge
- National Scholarship
- Outstanding Undergraduate Innovation and Entrepreneurship Project, project lead
- Provincial Second Prize, China Undergraduate Mathematical Contest in Modeling
- Honorable Mention, Mathematical Contest in Modeling
Technical skills
Python, C++, PyTorch, TensorFlow, YLearn, DoWhy, CausalML, EconML, and TrustworthyAI.