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Scott Armstrong

Professor of Mathematics · Mathematics

New York University · United States
Partial Differential EquationsCalculus of VariationsProbability TheoryHomogenizationRandom MediaStatistical Mechanics

About

Scott Armstrong is a Professor of Mathematics at NYU Courant. His research focuses on partial differential equations, calculus of variations, and probability theory, particularly homogenization of PDEs in random media and related problems in probability and statistical mechanics.

Education

  • Ph.D., Mathematics, University of California, Berkeley, USA, 2009
  • B.S., Mathematics, Texas A&M University, USA, 2002

Selected publications

  • Quantitative Stochastic Homogenization and Large-Scale Regularity
  • Stochastic homogenization of quasilinear Hamilton-Jacobi equations and geometric motions
  • The additive structure of elliptic homogenization
  • Quantitative stochastic homogenization of convex integral functionals

Data verified 9/6/2026Source

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