Department of Mathematics
University of Arizona
Member, Program in Applied Mathematics
Member, Statistics GIDP
mmo [at] math [dot] arizona [dot] edu
My research interests are Monte Carlo methods, data assimilation, controls and model order reduction. I create and analyze methods and algorithms that are useful in applications in science and engineering, for example in numerical weather prediction or for studying geomagnetic dipole reversals.
My research is supported by NSF, NRL and the Alfred P. Sloan Foundation
Please download my publications here.
I have been a teaching assistant for undergraduate classes in the Department of Mechanical Engineering and the Department of Physics at the University of California at Berkeley, and for the Department of Electrical Engineering at TU Darmstadt (Germany).
Please download my CV here.
Jesse Adams, Applied Mathematics. Projects: studying super-chrons and the geomagnetic polartiy time-scale by feature-based data assimilation; inverse problems arising from high-energy x-rays.
Travis Harty, Applied Mathematics. Project: forecasting global horizontal irradiance on multiple time-scales.
Spencer Lunderman, Mathematics. Project: feature-based data assimilation.
Andrew Leach, Applied Mathematics,co-advised with Kevin Lin.
Dissertation: Monte Carlo methods for stochastic differential equations and their applications.
Position after graduation: Google, Machine Learning Engineer.
Antonio Lorenzo, Optical sciences, co-advised with Alex Cronin.
Dissertation: Short-term irradiance forecasting using an irradiance sensor network, satellite imagery, and data assimilation.
Position after graduation: Research Scientist at the University of Arizona.
Office: ENR2 S331
Email: mmo [at] math [dot] arizona [dot] edu
Mail: 617 N. Santa Rita Ave., P.O. Box 210089 Tucson, AZ 85721-0089, USA