معرفی
Thomas Trogdon is the Chair and Professor of Applied Mathematics at the University of Washington. He holds a Ph.D. in Applied Mathematics from the University of Washington (2013). His research focuses on numerical analysis, random matrix theory, nonlinear waves, and scientific computing. Key interests include Riemann-Hilbert problems, numerical linear algebra, and the application of these methods to problems in mathematical physics and data science.
He has organized major conferences such as the Conference on Random Matrix Theory and Numerical Linear Algebra (2022, 2025). His work bridges theoretical developments with computational implementation, exemplified by collaborations on algorithms for orthogonal polynomials and inverse scattering transforms. He leads a team within the Department of Applied Mathematics, contributing to both research and education.
- Education: Ph.D., Applied Mathematics, University of Washington, 2013
- Grants: NSF CAREER Award (DMS-1945652)
- Collaborators: Includes researchers like Sheehan Olver, Percy Deift, and Xiucai Ding
His recent work emphasizes the convergence of numerical methods, stability analysis of algorithms, and applications to high-dimensional data and physical systems. A co-author of the book Riemann-Hilbert Problems, Their Numerical Solution and the Computation of Nonlinear Special Functions (SIAM, 2016), he also develops software tools such as the RHPackage for Riemann-Hilbert problem computations.
