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Sprenger, Kayla Assistant Professor

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  • The goal of my lab's research is to develop clinically-translatable, immune-based therapies for neurological and infectious diseases. We build computational models of biological processes that span the atomistic to cellular scales, leveraging approaches from statistical learning and data science. Our work is highly interdisciplinary, focused at the crossroads of physics, engineering and immunology, and we work in close synergy with experimentalists and clinicians.

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  • Vaccine design against highly mutable pathogens, cell therapy strategies for neurological diseases, improved therapeutics for neuroinfectious diseases, agent-based modeling, molecular dynamics simulations, deep reinforcement learning, protein/surface adsorption modeling

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