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to develop an innovative research program in sequential decision making. Our lab is involved in digital health studies in dental health, cardiac health, physical activity, mental illness and substance abuse
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such as: Causal inference and the design and analysis of experiments Reinforcement learning and sequential decision-making Analysis of complex systems, networks, and large-scale data Machine learning
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University is focused on studying complex molecular pathways underlying different disease states, especially late onset neurodegenerative disorders and neuromuscular diseases, with a goal of identifying novel
Searches related to complex systems physics
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