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Scott Armstrong is a Professor in the Department of Mathematics at New York University. He obtained his Ph.D. in Mathematics from the University of California, Berkeley in 2009 and his B.S. in Mathematics from Texas A&M University in 2002. His research predominantly focuses on partial differential equations, calculus of variations, and probability theory, with a specific emphasis on homogenization of PDEs, random media, and statistical mechanics. Throughout his academic career, he has contributed significantly to the understanding of quantitative stochastic homogenization and its applications in various mathematical frameworks. His influential publications include collaborative works on topics like quasilinear Hamilton-Jacobi equations and the additive structure of elliptic homogenization. Armstrong continues to engage in research that explores the intersections of these complex areas, aiming to advance the theoretical foundations and practical implementations of these mathematical concepts.
Open Program in Biomedical Sciences (Vilcek Institute) covers departments like Biochemistry, Pathology, Neuroscience, Microbiology, etc.