Matthias Morzfeld

Assistant Professor

Department of Mathematics

University of Arizona

Member, Program in Applied Mathematics

Member, Statistics GIDP

2016 Sloan Research Fellow

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.

Teaching at the University of Arizona

  • Fall 2017: Special topics: Data assimilation and inverse problems, Website.
  • Spring 2017: Applied Linear Algebra (Math310), Website.
  • Fall 2016: Linear Algebra(Math313), Website.
  • Spring 2016: Calculus II (Math129), Website.
  • Fall 2015: Calculus I (Math125), Website.

Teaching at the University of California at Berkeley

  • Spring 2014: Numerical Analysis (Math128b), Website.

Teaching Assistant

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).

  • Introductory Physics I (with Prof. Speliotopoulos), Department of Physics, UC Berkeley. Newtonian mechanics, fluid mechanics, thermodynamics (Spring 2009).
  • Introductory Physics I (with Prof. Jacobsen), Department of Physics, UC Berkeley (Fall 2008).
  • Engineering Mechanics II (with Prof. Ma), Department of Mechanical Engineering, UC Berkeley. Introduction to Newtonian mechanics (Spring 2008).
  • Engineering Mechanics II (with Prof. O‚ÄôReilly), Department of Mechanical Engineering, UC Berkeley. Outstanding GSI Award (Fall 2007).
  • Control Design for Mechatronic Systems (with Prof. Isermann), Department of Electrical Engineering, TU Darmstadt (Germany). Lab based course on control design (Fall 2005).

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.

Undergraduate students

Tene Carter

Rafael Orozco


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.

Friends and affiliates

UQ Working Group, with Kevin Lin and Shankar Venkataramani

William Holmgren


UA News story about geomagnetic reversals (2017)

UA News story about Sloan Research Fellowship (2016)


Public lecture about data assimilation (2017, Everything is Math lecture series)

Contact information

Office: ENR2 S331

Email: mmo [at] math [dot] arizona [dot] edu

Phone: 520-621-0673

Mail: 617 N. Santa Rita Ave., P.O. Box 210089 Tucson, AZ 85721-0089, USA