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commonly used techniques for biomolecular structure prediction and design. A strong track record of research productivity, evidenced by publications. A highly collaborative mindset and a love of science
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neurostimulators. Our team has deconstructed brain activity to discover the neural code responsible for the abnormality of walking in Parkinson’s disease and can predict debilitating freezing events that can cause
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NIH- and foundation-funded projects focused on treatment pathways, chronic pain phenotyping, pharmacoepidemiology, and biomarker-based prediction across autoimmune rheumatic diseases. This position
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systems. Includes establishing medical reasoning benchmarks and automated / scalable evaluation methods. Developing recommender algorithms to predict specialty care with large-language model based user
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most of our physiological responses to hormones, neurotransmitters and environmental stimulants. We employ an interdisciplinary approach to probe, model, and predict how signaling network dynamics
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or crowding in predicting reading skills. In regards to EF, the field is progressing towards a consensus that EFs are important for reading and that EF deficits are common in dyslexia. But due to the limited
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brain imaging-derived circuit measures to identify biotypes of depression, understand how these biotypes relate to symptoms and behaviors, and predict personalized treatment outcomes. The postdoctoral