Institute of Geophysics and Planetary Physics
Scripps Institution of Oceanography
University of California, San Diego
matti [at] ucsd [dot] edu
My research interests are, broadly: interdisciplinary mathematical/stochastic modeling, data assimilation, Monte Carlo sampling, reduced order modeling. Specifically: numerical methods for data assimilation and inverse problems – importance/implicit sampling, Markov chain Monte Carlo, variational methods, Kalman filters.
I create new mathematics and computational tools and work towards their successful application across the Earth sciences. A main theme of my work is how sampling methods can function (or not) in high-dimensional spaces.
I am a faculty mentor for the Math Alliance, a nationwide effort to make sure that every student from an under represented or underserved community with an interest in mathematics has the opportunity and the necessary tools to earn a doctoral degree. You can write to me directly about opportunities within Math Alliance or go to my mentor page.
Please download my publications here.
Please download my CV here.
Rebecca Gjini. Project: Nonlinear data assimilation at extreme scale
Kyle Gwirtz, SIO. Dissertation: Computational tools for estimating and predicting the state of the geodynamo. Position after graduation: NASA Postdoctoral Fellowship.
Jordan Pillow (2021), Applied Mathematics, U of Arizona. Dissertation: Bayesian spatially varying multi-regularization image deblurring. Position after graduation: Postdoc at NNSS.
Travis Harty (2020), Applied Mathematics, U of Arizona. Dissertation: Data assimilation and applications in forecasting. Position after graduation: Scientist at Worldview.
Spencer Lunderman (2020), Mathematics, U of Arizona. Dissertation: Feature-based parameter estimation of the nonlinear cloud and rain equation and global Bayesian optimization in data assimilation. Position after graduation: finance (declined JPL postdoc).
Jesse Adams (2019), Applied Mathematics, U of Arizona. Co-advised with Aaron Luttman (NNSS). Dissertation: Scalable block Gibbs sampling for image deblurring in X-ray radiography. Position after graduation: Postdoc at NNSS.
Andrew Leach, Applied Mathematics, U of Arizona. 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, U of Arizona. 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.
Travis Davis, Computer Science.
Savannah Rae Armstrong, Engineering and Mathematics double major.
Shivansh Singh Chauhan, Computer Science.
Tene Carter, Computer Science and Mathematics double major.
Rafael Orozco, Computer Science, Mathematics minor.
Snapshots of modern mathematics from Oberwolfach article about merging models and data (2018)
SIAM News story about simplified geomagnetic models (2020)
UA News story about geomagnetic reversals (2017)
UA News story about Sloan Research Fellowship (2016)
NNSS article about Jesse Adams' dissertation work
Email: matti [at] ucsd [dot] edu
Mail: Institute of Geophysics and Planetary Physics,Scripps Institution of Oceanography, UC San Diego,9500 Gilman Drive, MC 0225, La Jolla, CA 92093-0225