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Field
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the supervision of the Principal Investigator, including but not limited to the following: Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial
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mechanistic studies to understand how specific microproteins regulate immune cell activation, communication, and resolution of inflammation. Develop, refine, and apply functional immune assays to measure the
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single-cell and single-nucleus multi-omics, machine learning/AI, computational biology, and experimental validation to understand cardiovascular disease progression and identify novel therapeutic targets
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foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as
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combination immunotherapies. Development of NK cell and CAR-NK cell therapies. Building on advances in cellular engineering, we develop and optimize NK cell-based immunotherapies, including chimeric antigen
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research projects focused on thymic biology, T cell development, immune regeneration, and transplantation immunology. · Utilize and develop advanced experimental approaches including multi-parameter
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to the lab's ongoing research projects, while also develop their own scientific niche. An ideal candidate will bring new expertise and experience to the lab, while showing interest in learning new skills
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and develop advanced fluorescence and imaging approaches, including FRET-based assays, fluorescence lifetime imaging (FLIM), live-cell microscopy, site-specific bio-orthogonal protein labelling by
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research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the
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that establish pancreatic beta-cell identity also determine lifelong resilience or vulnerability to disease. Current projects investigate how disrupted DNA methylation and chromatin regulation can drive genomic