About me

I currently work for Maxar Technologies (formerly DigitalGlobe)in their Product R&D group, which does research toward next generation products in high-resolution satellite imaging. I work on a wide variety of projects including image analysis, machine learning, and data science, large-scale inverse problems in bathymetry and atmospheric compensation, and parallel computations for large geodetic networks.

I earned my Ph.D. in 2003 from the University of Colorado at Boulder under the guidance of Bobby Schnabel. My research centered on the solution of systems of nonlinear equations using tensor methods, which augments Newton's method with higher-order derivatives.

Upon graduation, I joined Sandia National Laboratories, where I was awarded the John von Neumann postdoctoral research fellowship, which had funded my research in a variety of areas, including algorithms for nonlinear equations that incorporate higher-order tensors, multilinear algebra techniques applied to data mining, and reduced order modeling aimed at online optimal control. In 2005, I was converted to Senior Member of Technical Staff, and in 2012, I was promoted to Principal Member of Technical Staff. I worked on a number of projects in optimization, numerical linear algebra, modeling & simulation with PDEs, tensor decompositions, and data analysis including text and cyber data.

In 2012, I started a new phase of my career and joined DigitalGlobe (now Maxar Technologies) to pursue interesting projects in satellite imaging and Earth observation. In 2015, DigitalGlobe launched it's most advanced satellite, WorldView-3, which has 30 cm resolution (Panchromatic band) and super-spectral capabilities with 8-band Visible and Near Infrared (VNIR) and 8-band Shortwave Infrared (SWIR). Since then my technical projects have centered on extracting information and insight from these sensors, including material classification, wildland fire mapping, plus land use and land cover (LULC) classification.