Projects
Project pages provide concise overviews of active research thrusts, with motivations, core methods, and links to related publications.
Scientific machine learning
Hybrid ML-PDE for accelerated simulation
Learned weak-form and source-term corrections for finite element and DG solvers, designed for long-horizon accuracy at reduced computational cost.
UQ & data assimilation
Data assimilation and uncertainty-aware inference
Ensemble and variational data assimilation, physics-informed Gaussian processes, and uncertainty-aware forecasting for atmospheric chemistry and climate variability.
Time integration
Time integration for stiff and multiscale dynamics
SSP and general linear methods, IMEX and multirate schemes, and global error estimation for PDE discretizations.
Additional project overviews will be added here.