Bernard Ng

Bernard Ng is a Researcher at the University of British Columbia’s Department of Statistics within the Faculty of Science. His work bridges advanced statistical methodologies with biomedical research, focusing on genetic and molecular mechanisms underlying neurological and immunological conditions. He is affiliated with the Centre for Molecular Medicine and Therapeutics, emphasizing translational research.

Ng’s research interests span neurodegenerative diseases, particularly Alzheimer’s, leveraging spatial transcriptomics and omics integration to elucidate disease pathways. He applies machine learning to analyze immune profiles in graft-versus-host disease and develops predictive models for gene expression and clinical outcomes. His computational expertise includes network analysis, clustering algorithms, and multimodal data integration.

Key contributions include identifying genetic variants linked to Alzheimer’s pathology, uncovering molecular correlates of brain connectivity, and establishing diagnostic classifiers for chronic GVHD. His work frequently involves large-scale genomic studies and interdisciplinary collaborations, integrating statistics, bioinformatics, and clinical data.

Ng’s lab focuses on translational applications of statistical models in healthcare, with a particular emphasis on pediatric immunology and neurodegenerative biomarkers. His methodologies address challenges in personalized medicine, such as predicting disease trajectories and optimizing treatment strategies through data-driven approaches.