معرفی
Jun Ding is an Assistant Professor at the Department of Medicine, McGill University School of Medicine, where he leads the Ding Lab at the Meakins-Christie Laboratories. His research focuses on decoding cell dynamics in diseases using single-cell technologies and machine learning, particularly probabilistic graphical models to integrate longitudinal and spatial omics data.
- MSc in Electrical Engineering, University of Science and Technology of China (2010)
- PhD in Computer Science, University of Central Florida (2016)
- Postdoctoral Fellowship in Computational Biology, Carnegie Mellon University (2020)
Ding's work addresses cellular heterogeneity in developmental disorders, cancers, and pulmonary diseases by developing computational tools like DOLPHIN, UNAGI, and scCross, which enable exon-level transcriptomic analysis, in silico drug discovery, and cross-modal single-cell integration. His 2025 publications highlight applications in idiopathic pulmonary fibrosis, osteoporosis, and arsenic-induced atherosclerosis.
He received the FRQS Salary Award (2025-2026) for his methodological innovations. The Ding Lab actively engages in collaborative projects, including partnerships with Nature and CIHR-funded initiatives, while fostering a dynamic research environment through team-building activities and interdisciplinary training.
