
About
Serkan Hosten is a Professor in the Department of Mathematics at San Francisco State University's College of Science and Engineering. His research focuses on Commutative Algebra, Combinatorics, and Algebraic Statistics. He serves as an adviser for the Applied Math BS program and maintains active seminar engagements at UC Berkeley.
His research explores the intersection of algebraic geometry with statistical optimization, leveraging combinatorial structures to solve problems in information theory and machine learning. Recent publications demonstrate consistent work in toric geometry, matroid theory, and computational algebra.
Publications over the past decade show a strong emphasis on: (1) geometric methods in statistical inference, (2) combinatorial optimization frameworks, (3) algebraic approaches to machine learning, and (4) computational aspects of commutative algebra. This interdisciplinary work bridges pure mathematics with data science applications.
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