Joining SISC editorial board
Becoming Associate Editor
I'm excited to join the editorial board of the SIAM Journal on Scientific Computing (SISC) as an Associate Editor. I'll be handling submissions in the areas of:
- Model reduction
- Uncertainty quantification
- Machine learning
- Deep learning
- Krylov methods
- PDE-constrained optimization
- Dimensionality reduction
- Computational fluid dynamics
- Adaptive refinement
- Dynamics learning
- Data-driven modeling
Kevin T. Carlberg
Affiliate Associate Professor of Applied Mathematics and Mechanical Engineering
My research combines machine learning, computational physics, and high-performance computing. The objective is to discover structure in data to drastically reduce the cost of simulating nonlinear dynamical systems at extreme scale. I also work on technologies that enable the future of virtual and augmented reality.