I am Kun Qian, a Ph.D. candidate in Statistics at Peking University. My research focuses on developing novel computational methods and statistical tools for analyzing single-cell and spatial genetic data.

Research Interests

• Statistical Learning and Deep Learning
• Bioinformatics and Computational Biology
• Single-cell Multi-omics Data Analysis
• Spatial Transcriptomics Analysis

Current Research

My current research focuses on developing computational methods for:

• Integration and clustering analysis of single-cell RNA sequencing data
• Dimension reduction and super-resolution of spatial transcriptomics data
• Integration and analysis of multi-omics data

Education

• Ph.D. candidate in Statistics, Peking University, 2023-Present
• M.S. in Mathematics, China University of Geosciences (Wuhan), 2020-2023
• B.S. in Mathematics and Applied Mathematics, China University of Geosciences (Wuhan), 2016-2020

Publications

Please see my Publications page for a complete list.