Bayesian statistics, spatiotemporal modeling, ML theory
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Research centers on probabilistic modeling and Bayesian nonparametrics for complex data: spatiotemporal and count time‑series, and survey data. Develops theory for feature learning in deep networks and scalable inference, with applications in public health and social systems.
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