Computational neuroscience, single-cell omics, geometric ML, protein dynamics
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Develops graph- and geometry-aware AI to integrate neuroimaging, single-cell/spatial omics, and molecular simulations. Learns dynamics and representations across scales, with scalable methods and open tools for high-dimensional biological data.
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