### About

My research combines *computational mechanics*, *machine learning*, *numerical linear algebra*, and *high-performance computing*. The objective is to discover structure in data to drastically reduce the cost of simulating nonlinear dynamical systems at extreme scale. This enables high-fidelity models to be used for many-query applications such as *design optimization* and *uncertainty quantification*.

In 2011, I received my PhD in Aeronautics and Astronautics (with a PhD minor in ICME) from Stanford University, where Charbel Farhat was my research adviser. From 2011 to 2014, I was the President Harry S. Truman Fellow at Sandia National Laboratories in Livermore, CA. Since 2014, I have been a Principal Member of Technical Staff at Sandia.

My research interests include nonlinear model reduction, machine learning, computational mechanics, high-performance computing, numerical linear algebra, uncertainty quantification, time-parallel methods, Krylov-subspace methods, structure-preserving approximations, and numerical optimization.

### Recent publication highlights

- Our paper on
**stochastic least-squares Petrov–Galerkin projection**has been accepted in the SIAM/ASA Journal on Uncertainty Quantification. (Joint work with K. Lee and H. Elman) - Our preprint on
**space–time nonlinear model reduction**with least-squares Petrov–Galerkin projection is now available on the arXiv. (Joint work with Y. Choi) - Our preprint on using
**time-evolution data**to enable efficient**time-parallel**numerical simulations is now available on the arXiv. (Joint work with L. Brencher, B. Haasdonk, A. Barth) - Our paper on analyzing
**least-squares Petrov–Galerkin projection**in**nonlinear model reduction**has been published in the Journal of Computational Physics. (Joint work with H. Antil, M. Barone)

### News

- The 2017 West Coast ROM Workshop was held at
**Lawrence Berkeley National Laboratory**on November 17, 2017. - I gave a talk at the SILO Seminar Series at
**University of Wisconsin, Madison**on October 11, 2017. - I taught
**Introduction to Mathematical Optimization**at ICME Fundamentals of Data Science Summer Workshops at**Stanford University**on August 15, 2017. (register here) - I gave a talk at the 14th U.S. National Congress on Computational Mechanics in
**Montréal, Canada**on July 19, 2017. - I gave a talk at the *Talk seminar series at the
**Stanford University**, May 22, 2017. (slides) - I gave a talk at the Department of Mathematics Smith Colloquium at the
**University of Kansas**, May 4, 2017. - I gave the keynote lecture at the U2 can UQ showcase at
**University of Arizona**, April 28, 2017. - I gave a talk at the USACM Workshop on Uncertainty Quantification and Data-Driven Modeling in Austin, TX, March 23–24, 2017. (slides)
- I attended the 2017 SIAM Conference on Computational Science and Engineering in Atlanta, GA as a minisymposium organizer, speaker, and poster presenter, February 27 to March 3, 2017. (slides)