Data-Driven Modeling and Simulations Group
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Research Interests
Applied and computational mathematics
Mathematical modeling of complex systems, uncertainty quantification, probabilistic risk assessment, stochastic partial differential equations, hybrid numerical algorithms, spatial statistics, data assimilation.
Environmental fluid mechanics
​Multiphase flows, subsurface flow and contaminant transport, well hydraulics, surface water / groundwater interaction, inverse modeling, subsurface imaging, decisions under uncertainty.
Biomedical modeling
Blood flow, microcirculation, intracellular and intercellular transport, bioinformatics, hemodynamic​.
Affiliations
