We are a computational biology group at McGill University School of Medicine’s Meakins-Christie Laboratories. Our mission is to unravel the intricacies of cell dynamics in various diseases, including developmental disorders, pulmonary diseases, and cancers. Deciphering these dynamics is crucial for comprehending disease pathogenesis and discovering novel therapies.
Our research leverages cutting-edge single-cell technologies, which offer unprecedented insights into individual cell states. We harness these technologies to drive discoveries and medical innovations in developmental and cancer biology. However, the complexity and heterogeneity of these diseases pose significant challenges in analyzing single-cell data.
Our primary focus is on developing machine learning techniques, particularly probabilistic graphical models, to comprehensively analyze, model, and visualize single-cell and bulk omics data, preferably in longitudinal or spatial contexts. These computational models deepen our understanding of cell dynamics across diverse biological systems. Ultimately, our work aims to advance public health through machine-learning-driven diagnostic and therapeutic strategies.
Website: https://junding.lab.mcgill.ca/