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<p>Assistant professor at Ecole Polytechnique. His research focuses on computational bioimaging for large image datasets and quantitative geometry, with a particular interest in the manipulation, analysis, and visualisation of large high throughput and high resolution imaging datasets.</p>
<p>Postdoctoral fellow at Institut Pasteur. His research focuses on the analysis of ultra-high resolution imaging data, in particular large brainbow imaging datasets, where he develops software for cell identification and neuron tracing.</p>
<p>Postdoctoral researcher in the SIMEXP lab, affiliated with CRIUGM and Université de Montréal, Canada. Her work focuses on developing methods to characterize complex, naturalistic cognition in health and disease. Specifically, her current projects aim to model individual brain activity across a range of cognitive states — and to assess the generalizability of these individualized models — by extending statistical methods for human neuroimaging data analysis.</p>
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<td>Elizabeth Dupré</td>
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<td>Improving data reuse in neuroimaging with domain adaptation</td>
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<h3>Day 2: Tutorials, Deep Phenotyping and Multi-Species Atlasing</h3>
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<h3>Day 2: Tutorials, Deep Phenotyping and Multi-Scale Atlasing</h3>
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