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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
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, functional perturbations, and rescue experiments. Experience in biochemical and/or histological profiling of cell- and tissue-specific phenotypes. Confocal microscopy and quantitative image analysis expertise
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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-of-the-art approaches in cell biology, imaging, and in-cell structural biology to reveal nanoscale membrane architectures that drive lipid flux in their native context. The group operates across two
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techniques such as mouse models, in vivo immune cell functional assays, flow cytometry, cell biology, metabolic assays, imaging and omics-techniques (next generation sequencing). Applicants should possess a
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organelle biogenesis in metabolic health and disease. We use state-of-the-art approaches in cell biology, imaging, and in-cell structural biology to reveal nanoscale membrane architectures that drive lipid