
About
Jiarui Ding is an Assistant Professor in the Department of Computer Science at the University of British Columbia, within the Faculty of Science. His research focuses on the intersection of bioinformatics, computational biology, and machine learning, with an emphasis on single-cell genomics and probabilistic deep learning. Key interests include computational immunology, cancer biology, and the application of AI to biomedical problems like food allergy neuroscience.
He is affiliated with the CAIDA: UBC ICICS Centre for Artificial Intelligence Decision-making and Action and the Data Science Institute, indicating strong interdisciplinary engagement. He actively recruits doctoral students for research projects in these areas, with desired start dates year-round.
His work bridges computational methods with biological systems, exemplified by publications on single-cell data integration (e.g., CellUntangler), generative models for T-cell receptors, and mechanistic studies of immune responses in diseases like eosinophilic esophagitis. His research also addresses challenges in multiomics data analysis and the development of novel algorithms for genomic data interpretation.
No awards or grants are explicitly listed in the provided materials, though his involvement in high-impact projects suggests potential external funding. He emphasizes collaboration, stating availability for interdisciplinary projects and undergraduate research mentorship.
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