I am Kun Qian, a Ph.D. candidate in Statistics at Peking University. I develop statistical and machine learning methods to understand gene regulation and design functional DNA sequences. My current work focuses on AI for Science, genomic language models, regulatory sequence design, and epigenomics, alongside single-cell and spatial omics analysis.

Research Interests

• AI for Science and Genomic Language Models
• Regulatory DNA Sequence Design
• Regulatory Genomics and Epigenetics
• Single-cell and Spatial Multi-omics

Current Research

My current research focuses on:

• Developing genomic language models to learn regulatory information from DNA sequences
• Designing and optimizing regulatory DNA sequences for cell-type-specific activity
• Modeling gene regulation through chromatin accessibility and DNA methylation
• Integrating single-cell, spatial transcriptomic, and multimodal data to characterize cellular states and tissue organization

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.