Applied Mathematics

In the Cornell Department of Mathematics, the “applied” group includes mathematicians working in dynamical systems theory, PDEs, calculus of variations, computational algebra, applied probability theory, statistics, numerical analysis, and scientific computing. The group’s activities are often coordinated with the Center for Applied Mathematics and the graduate field of applied mathematics.

Many great mathematicians of the past would be hard pressed to identify themselves as either pure or applied, and many of us at Cornell share this philosophy. Applied mathematics is regarded as an interdisciplinary activity that results from the interaction of mathematics with other sciences and engineering. Whether new mathematics is inspired by questions arising in other fields or new applications are discovered for pre-existing mathematics, the results should stand on their own within a single discipline. In addition to applied talks in departmental seminars, the group members participate in seminars and colloquia outside the department, including the interdisciplinary CAM Colloquium and the SCAN seminar.

Faculty Members

Robert Connelly	Discrete geometry, computational geometry and the rigidity of discrete structures
Joseph Halpern	AI, security, and game theory
Timothy J. Healey	Applied analysis and partial differential equations, mathematical continuum mechanics
John H. Hubbard	Analysis, differential equations, differential geometry
Jon Kleinberg	Networks and information
Robert Kleinberg	Algorithms and theoretical computer science
Dexter Kozen	Computational theory, computational algebra and logic, logics and semantics of programming languages
Lionel Levine	Probability and combinatorics
Adrian Lewis	Variational analysis and nonsmooth optimization
Anil Nerode	Mathematical logic, computability theory, computer science, mathematics of AI, control engineering, quantum control of macroscopic systems
Richard H. Rand	Nonlinear dynamics
James Renegar	Optimization algorithms
Laurent Saloff-Coste	Analysis, potential theory, probability and stochastic processes
Gennady Samorodnitsky	Probability theory
Michael E. Stillman	Algebraic geometry, computational algebra
Steven Strogatz	Dynamical systems applied to physics, biology, and social science.
Éva Tardos	Algorithm design and algorithmic game theory
Alex Townsend	Numerical analysis, scientific computing, and numerical algebraic geometry
Alexander Vladimirsky	Numerical methods, dynamical systems, nonlinear PDEs, control theory
Marten Wegkamp	Mathematical statistics, empirical process theory, high dimensional statistics and statistical learning theory

Emeritus and Other Faculty

Louis Billera	Geometric and algebraic combinatorics
Leonard Gross	Functional analysis, constructive quantum field theory
John M. Guckenheimer	Dynamical systems
Alfred H. Schatz	Numerical solutions of partial differential equations
John Smillie	Dynamical systems