Laura Felicia Matusevich

Laura Felicia Matusevich is a Professor in the Department of Mathematics at Texas A&M University, affiliated with the College of Arts & Sciences. She holds a Ph.D. from the University of California, Berkeley (2002) and a Licenciada en Matemática from the Universidad Nacional de Córdoba, Argentina (1997). Her research focuses on Algebraic Geometry, Combinatorics, and Discrete Geometry, with applications to hypergeometric functions and neural coding.

Her work bridges theoretical and applied mathematics, exploring topics such as binomial ideals, local cohomology, and neural code analysis. Recent contributions include advancements in non-convex neural code criteria, hypergeometric systems, and sparse polynomial computations. She has published extensively in top-tier journals and conference proceedings, demonstrating expertise in both foundational and computational aspects of algebraic structures.

Dr. Matusevich’s research also intersects with computational algebra, numerical methods, and interdisciplinary applications in neuroscience and data science. Her articles frequently address challenges in algebraic coding, monodromy analysis, and combinatorial optimization, reflecting her broad impact across mathematics.