Post, March 26, 2023 • A new paper by Eric Parish and I, titled "Evaluation of dual-weighted residual and machine learning error estimation for projection-based reduced-order models of steady partial differential equations", has been accepted for publication by Computer Methods in Applied Mechanics and Engineering (CMAME). Read it online here.
News
Pressio is now live!
Post, September 23, 2021 • Pressio, a software package we are developing at Sandia to enable projection-based model reduction for nonlinear systems, is now available on github.
PRIME code
Post, October 29, 2021 • PRIME, our Bayesian framework for characterizing and forecasting partially observed epidemics, is now available on github! To learn more visit the PRIME website or checkout this video. Additionally, my contributions to PRIME are discussed in our paper on forecasting multi-wave epidemics.
Story on Full Airframe Sensing Technology (FAST)
Post, September 23, 2021 • Check out this story about our new collaboration with University of Texas at Austin on sensing for hypersonic vehicles.