Welcome to the Uncertainty Quantification Group, in the Department of Aeronautics and Astronautics at MIT. We are part of the Aerospace Computational Design Laboratory and affiliated with the Center for Computational Engineering.
Our research focuses on advancing fundamental computational methodology for uncertainty quantification and statistical inference in complex physical systems, and using these tools to address challenges in modeling energy conversion and environmental applications.
We tackle a broad range of projects, but most involve aspects of a few core questions:
- How to quantify confidence in computational predictions?
- How to build or refine models of complex physical processes from indirect and limited observations?
- What information is needed to drive inference, design, and control?
Feb 27, 2016
Congratulations to Alessio Spantini for winning the student paper competition at the 2016 Copper Mountain Meeting on Iterative Methods!
Feb 20, 2016
Congratulations to Alex Gorodetsky for his selection as the next John von Neumann Fellow in Computational Science at Sandia National Laboratories.
Jan 31, 2016
Congratulations to Antoni Musolas for passing his PhD qualifying exam!
Dec 1, 2015
Congratulations to Nikhil Galagali for successfully defending his PhD thesis!
Aug 1, 2015
Congratulations to Xun Huan for successfully defending his PhD thesis!
Jan 31, 2015
Congratulations to Zheng Wang for passing his PhD qualifying exam!
Oct 30, 2014
Congratulations to Matt Parno for successfully defending his PhD thesis!
May 30, 2014
Congratulations to Raghav Aggarwal for passing his PhD qualifying exam!