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of phase separation and stochastic dynamics, over large-scale numerical simulation (Cahn-Hilliard, stochastic reaction-diffusion, coarse-grained molecular dynamics), to method development and analysis
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understanding of early metabolic dysfunction. To achieve this, we integrate data across multiple biological scales, from genetic variation and single-cell molecular profiles to clinical phenotypes collected in
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, cryo-electron microscopy (cryo-EM), cryo-EM-based polyclonal serology (cryo-EMPEM), molecular dynamics simulations, machine learning, and structural biology to define epitopes and engineer improved
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to molecular hydration. The student will develop experimental methodologies and combine these with state-of-the-art characterization techniques, including Magnetic Resonance Imaging (MRI), Nuclear Magnetic