CV

Education

Ph.D. candidate in Statistics, Peking University, 2023-Present
- Research focus: AI for Science, genomic language models, regulatory sequence design, and single-cell and spatial omics
- Supervisor: Ruibin Xi
M.S. in Mathematics, China University of Geosciences (Wuhan), 2020-2023
- Research focus: Integration and clustering of scRNA-seq data
- Thesis: Research on Integration Analysis for Single-cell RNA Sequencing Data
- Supervisor: Hongwei Li
B.S. in Mathematics and Applied Mathematics, China University of Geosciences (Wuhan), 2016-2020

AI for Science & Genomic Language Models
- Self-supervised representation learning and genomic foundation models
- Pretraining and fine-tuning for DNA sequence modeling
Regulatory Sequence Design & Epigenetics
- Computational design and optimization of regulatory DNA sequences
- Chromatin accessibility, DNA methylation, and sequence–function modeling
Single-cell & Spatial Omics
- Single-cell RNA-seq integration, clustering, and representation learning
- Spatial transcriptomics analysis and multimodal data integration
Statistical & Machine Learning Methods
- Statistical modeling, dimensionality reduction, and clustering
- Graph neural networks, contrastive learning, and generative modeling
Programming Languages
- Python, R, and MATLAB