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conditions with microfluidics, which allows us to quantify growth and death of single-cells, metabolomics for the quantification of the BA composition, and quantitative data analysis, we aim to provide a
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modification. By marrying first-principles theory – trade-off analysis, game theory, reaction-diffusion, and consumer-resources models – with single-cell tracking and synthetic community experiments
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% women; three continents represented). The strengh relies in coupling: Single-cell microfluidics Quantitative (image) analysis Mathematical modelling Microbiology Molecular biology We approach science with
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implement methodologically appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers
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methodologically appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers to lead or
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technologies and analysis pipelines. Experience with 3D culture systems or organoid models to replicate hematopoietic microenvironments. Knowledge of clonal tracking methods to study cell fate and leukemic
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data to dissect molecular mechanisms regulating B cell fate choice; Develop new ideas to investigate B cell differentiation and study antibody diversification; Managing data analysis within their project
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implement methodologically appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers