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Hosseini's research interests lie at the intersection of applied mathematics, probability theory, and statistics, focusing on the analysis and development of computational methods for extracting meaningful information from data. Hosseini is particularly interested in a rigorous theoretical understanding of machine learning algorithms and the incorporation of uncertainty quantification in data science tasks. Previously, Hosseini served as a Senior Postdoctoral Fellow and Instructor at the California Institute of Technology, and he obtained a PhD in Mathematics from Simon Fraser University.
California Institute of Technology • California
Served as a Senior Postdoctoral Fellow and Instructor.
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