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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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language processing to build, test, and deploy advanced algorithmic tools that underpin rigorous empirical research in real-world environments. Lead and collaborate on technically challenging projects involving AI
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clinical pulmonologists and immunologists to study the molecular mechanisms that underly airway tissue homeostasis and asthma pathogenesis. In addition, our group aims to develop new computational algorithms
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