Bio
Distinguished Member of the R&D Staff
Fellow American Physical Society, Fellow Society of Industrial and Applied Mathematics.
Other Awards: Career Prize, SIAM Geosciences, DOE Young Investigator Award, ORISE Distinguished Postdoctoral Fellowship.
I specialize in non-equilibrium statistical and deterministic dynamics and work on methodologies that incorporate data and physical models as well as artificial intelligence methods for classification and reduction. I have a track record in research in estimation theory and data assimilation as well as sampling in Bayesian problems.
Among other projects, I am working on interpretable artificial intelligence methods, high performance ensemble computing, sampling methods. I also work on time dependent probabilistic methods in statistical physics, as a basis for inferential digital twins.
My applications research span systems biology, electric grids, ocean wind turbines, ocean transport, climate dynamics, epidemics, coastal resilience, oil spills and nearshore processes.
I hold a Joint Faculty appointment in the Mathematics Department at the University of Tennessee, Knoxville, and an adjunct faculty position in the Mathematics Department at Duke University.
Prior to ORNL I was a faculty member at Oregon State University, and at the University of Arizona.
Professional Experience
(Professor) Mathematics, Oregon State University. (Professor) Mathematics, University of Arizona. (Professor) Physics Department University of Arizona. (Visiting Professor) UCLA. (Postdoctoral Fellow) Argonne National Laboratory.