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Field
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analyses of single-cell and spatial omics to advance precision medicine. Dr Chen’s research team develops AI algorithms for spatial and single-cell omics, integrates publicly available datasets into a
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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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research integrates fundamental immunology, functional genomics, and translational cell engineering to uncover mechanisms of immune regulation and translate these discoveries into next-generation
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, regeneration, and function, with a particular emphasis on thymus biology, hematopoietic stem cell transplantation, immune reconstitution, tolerance, and graft-versus-host disease. The Thymus Research Team
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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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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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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
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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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Engineering at Harvard University seeks outstanding postdoctoral applicants with expertise in immunology and computational biology, specifically bulk/single cell sequencing and AI/ML workflows, to join an
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to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity