Sandia National Laboratories, Livermore
I am an aerodynamicist by training. I received my Ph.D. in Mechanical and Aerospace
Engineering in 1999 from Rutgers, The State University of New Jersey.
I work broadly in computational science, with particular emphasis on merging
data and models (data-model fusion). This is also called calibration.
Curriculum Vitae: In PDF
My research interests are:
- Bayesian inverse problems, where I develop Markov chain Monte Carlo methods, multiscale
random field models, surrogate models for climate models and Reynolds-averaged Navier-Stokes
- Epidemiology, including characterization of partially-observed outbreaks
- High-order numerical methods, especially development of fourth-order finite-difference
methods for block-structured adaptively refined meshes. I use these methods for
- Compressible fluid dynamics, including development of analytical models for
Richtmeyer-Meshkov instabilities and the calibration of turbulence models
I have been funded numerous times as a PI by the US Department of
Defense/Defense Threat Reduction Agency, US Department of
Energy/Office of Science and by Sandia's Laboratory Directed R & D program.
I publish papers, technical reports as well as release open-source software. You
can access them on the left.