Welcome to my website! I am assistant professor at the Department of Earth and Environmental Sciences at California State University, Fresno. I am interested in all aspects of numerical modeling and parameter estimation that arise within geosciences or related fields. My background is in computational geophysics (PhD at ETH Zurich) and mathematics (M.Sc. at University of Basel). Before my appointment at Fresno State I was a postdoctoral researcher at the Department of Geosciences at Princeton University working with Frederik Simons
My main research focus is on planetary potential fields such as magnetic and gravity fields, and on calculating these fields from satellite data. I am also interested in near-surface and applied geophysics, in particular in electrical resistivity tomography and ground penetrating radar.
My PhD at ETH Zurich was in the field of near surface geophysics. In this research I developed and implemented an adaptive algorithm for electrical resistivity tomography.
You can find more information about my current and past research on my research page. My publications page contains links to pdfs of my published articles. You can install Matlab/Octave functions to construct and plot vector Slepian functions using the installation scripts and demo functions on my Git repository, which will automatically download the software from Slepian_alpha through Slepian_hotel, obtain the data files from Frederik Simons' repository, and setup the folder structure. If you would like access to my most recent software that I used in my research on Mars then please send me an email.
July 1, 2016
The near-surface Octave/Matlab programs developed for teaching near-surface seismics (Seism-O) and ground penetrating radar (GPR-O) are now available on NSGeophysics. See my software page for more information.
June 23, 2016
The Slepian GitHub wiki page https://github.com/Slepian/Slepian/wiki now contains detailed instructions and installation scripts for Windows, Mac, and Linux users.
June 21, 2016
June 6, 2016
The figure in the background shows the radial component of Earth's crustal magnetic field up to spherical-harmonic degree 100 recovered from simulated radomly located noisy data points at varying satellite altitude only available over North America.