Statistical identification of cell-type-specific spatially variable genes in spatial transcriptomic studies.
John Aitchison Prize in Statistics Presentation at the Hong Kong Statistical Society Annual General Meeting, 16 May 2026.
Statistical and computational methods for genomic data analysis.
PhD thesis examination in the Department of Mathematics, The Hong Kong University of Science and Technology, 2 June  2025.
Committee Chairperson: Robert Kam Ming Ko. Thesis Supervisor: Can Yang. Committee Members: Shiqing Ling, Dong Xia, and Jiguang Wang. External Examiner: Yingying Wei (CUHK).
MMM: A unified framework for identification of cell-type-specific spatially variable genes in spatial transcriptomic studies.
Invited talk at the University of Chicago, 21 February 2025.
Host: Lin S. Chen.
MMM: A unified framework for identification of cell-type-specific spatially variable genes in spatial transcriptomic studies.
Invited talk at the Interdisciplinary Workshop on Statistics and Data Science, Artificial Intelligence, and Life Sciences hosted by the School of Mathematical Sciences, Shenzhen University, 4 January 2025.
Host: Xianghong Hu.
Challenges in identifying spatially variable genes.
Invited talk at the Interdisciplinary Workshop on AI, Data Science, and Life Science hosted by Shenzhen Research Institute of Big Data, 11 August 2024.
Host: Jiashun Xiao.
MFAI: A scalable Bayesian matrix factorization approach to leveraging auxiliary information.
Invited talk at the AI for Life Science Workshop organized by the School of Statistics, East China Normal University, Shanghai, 15 January 2024.
Hosts: Jingsi Ming and Xingjie Shi.
MFAI: A scalable Bayesian matrix factorization approach to leveraging auxiliary information. [Slides]
PhD oral qualifying examination in the Department of Mathematics, The Hong Kong University of Science and Technology, 3 May 2023.
Committee Chairman: Shiqing Ling. Committee Members: Can Yang and Dong Xia.