PHILADELPHIA, PA — The Society for Industrial and Applied Mathematics (SIAM) has announced the 2025 Class of SIAM Fellows, recognizing 25 extraordinary individuals for their substantial contributions to research and service in applied mathematics, computational science, and data science.
The SIAM Fellowship is a prestigious distinction that honors individuals who have demonstrated excellence in their field and have significantly impacted both theoretical advancements and real-world applications. The fellows represent a broad range of expertise, from optimization and scientific computing to machine learning and mathematical modeling.
The 2025 fellows will be officially recognized at a reception during the SIAM/CAIMS Annual Meetings, set to take place in Montréal, Québec, Canada, in July 2025.
SIAM leadership expressed excitement in celebrating the accomplishments of these exceptional members of the SIAM community. They emphasized that their work drives innovation forward and offers significant contributions to the scientific field.
SIAM 2025 Class of Fellows
The following individuals have been honored as SIAM Fellows for their exceptional achievements, listed in alphabetical order:
- Amir Beck, Tel Aviv University, for contributions to continuous optimization theory, algorithms, and engineering applications.
- Luis Chacon, Los Alamos National Laboratory, for seminal contributions to scalable, multiscale fluid, kinetic, and hybrid algorithms, enabling breakthrough simulations of magnetic and inertial fusion plasmas.
- Jennifer Chayes, University of California, Berkeley, for contributions to mathematical physics, probability theory, computer science, and network science, with broad applications.
- Elizabeth M. Cherry, Georgia Institute of Technology, for contributions to mathematical and computational modeling of cardiac action potentials from single cells to realistic 3D structures and extensive service to the SIAM community.
- Eric Chung, The Chinese University of Hong Kong, for contributions to numerical analysis and multiscale methods.
- David F. Gleich, Purdue University, for research contributions to matrix-based network analysis and the foundations of higher-order network analysis.
- Ivan Graham, University of Bath, for sustained, outstanding contributions to the numerical analysis of partial differential equations and integral equations.
- Lars Grüne, University of Bayreuth, for contributions to systems theory and optimal and predictive control.
- Serkan Güğercin, Virginia Tech, for innovations in the design of algorithms for rational approximation and interpolatory model reduction of large-scale dynamical systems.
- Thomas Hagstrom, Southern Methodist University, for contributions to the numerical analysis and scientific computing of domain truncation and high-order methods for simulating wave propagation.
- Matthias Heinkenschloss, Rice University, for work on numerical methods in partial differential equation-constrained optimization and optimal control.
- Lior Horesh, IBM Research, for contributions in quantum computing and machine learning and for fostering the relation between academic computational mathematics and the industry.
- Lili Ju, University of South Carolina, for contributions to the development of novel numerical methods for partial differential equations, ocean and ice-sheet modeling, meshing, imaging, and high-performance computing.
- Wei Kang, Naval Postgraduate School, for fundamental theoretical and computational contributions to the analysis, control, and estimation of nonlinear dynamical systems and their applications.
- Steven Lee, U.S. Department of Energy, Office of Advanced Scientific Computing Research, for exceptional federal program leadership in advancing the field of scientific computing research, and for service to the profession.
- Chun Liu, Illinois Institute of Technology, for contributions to the theory and applications of nonlinear partial differential equations, especially on biophysics, complex fluids, and materials.
- Youssef Marzouk, Massachusetts Institute of Technology, for seminal contributions to multiple aspects of uncertainty quantification, particularly Bayesian computation and measure transport.
- Jonathan C. Mattingly, Duke University, for fundamental contributions to stochastic analysis and for applying stochastic tools to scientific and societal problems.
- Gianluigi Rozza, SISSA – Scuola Internazionale Superiore di Studi Avanzati – Trieste, for contributions to the development of reduced-order models for CFD applications.
- Katya Scheinberg, Georgia Institute of Technology, for foundational contributions to derivative-free optimization and optimization applications in data science, as well as dedicated service to the optimization community.
- Otmar Scherzer, University of Vienna and Radon Institute for Computational and Applied Mathematics, for expertise in inverse and ill-posed problems, particularly regularization theory, tomography, and mathematics of imaging.
- Frank Sottile, Texas A&M University, for fundamental contributions to real, computational, and applied algebraic geometry, and for scientific leadership and service to the SIAM community.
- Andrea Walther, Humboldt-Universität zu Berlin, for contributions in algorithmic optimization and automatic differentiation.
- Stefan M. Wild, Lawrence Berkeley National Laboratory, for significant contributions to derivative-free optimization and applications.
- Mohammed J. Zaki, Rensselaer Polytechnic Institute, for contributions to data mining and knowledge discovery, and leadership in data science.
These individuals exemplify SIAM’s mission to advance the application of mathematics to science, engineering, and industry. Their groundbreaking work continues to shape innovation and drive real-world impact in various fields.
SIAM
Founded in 1951, the Society for Industrial and Applied Mathematics connects the applied mathematics and computational science communities around the world. Through its programs, publications, and recognition efforts, SIAM supports the advancement of interdisciplinary research and the development of practical solutions to complex challenges.
The SIAM/CAIMS Annual Meeting in July will serve as a moment to celebrate these remarkable achievements, as SIAM’s newest fellows are welcomed into an exclusive group of leaders in applied mathematics and computational science.
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