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Massachusetts Institute of Technology. Welcome to the Uncertainty Quantification Group, in the Department of Aeronautics and Astronautics. We are part of the Aerospace Computational Design Laboratory. And affiliated with the Center for Computational Engineering. 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?

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Massachusetts Institute of Technology. Welcome to the Uncertainty Quantification Group, in the Department of Aeronautics and Astronautics. We are part of the Aerospace Computational Design Laboratory. And affiliated with the Center for Computational Engineering. 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?

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UQGroup - Home | uqgroup.mit.edu Reviews

https://uqgroup.mit.edu

Massachusetts Institute of Technology. Welcome to the Uncertainty Quantification Group, in the Department of Aeronautics and Astronautics. We are part of the Aerospace Computational Design Laboratory. And affiliated with the Center for Computational Engineering. 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?

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uqgroup.mit.edu

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UQGroup | Outings

http://uqgroup.mit.edu/outings

Massachusetts Institute of Technology. 2016/01 Farewell dinner for Xun. 2014/06 International Society for Bayesian Analysis, Cancun, Mexico. 2013/12 Brunch at The Blue Room. 2013/05 Going-away dinner for Lionel. Sep 2, 2016. Congratulations to Alex Gorodetsky for successfully defending his PhD thesis! Congratulations to Tiangang Cui for accepting a tenure-track position at Monash University, in the School of Mathematical Sciences. Feb 27, 2016. Feb 20, 2016. Jan 31, 2016. Dec 1, 2015. Aug 1, 2015.

2

UQGroup | People

http://uqgroup.mit.edu/people

Massachusetts Institute of Technology. I am interested in various topics in uncertainty quantification including Bayesian calibration and validation for predictive models, reduced-order stochastic models, and mathematical representations of model inadequacy. I recently completed my PhD at UT Austin, where I was captain of the intramural soccer team. I also love to play tennis, travel, and read. Graduate Students, PhD. My current research is optimization under uncertainty. I am also interested in nume...

3

UQGroup | Home

http://uqgroup.mit.edu/home

Massachusetts Institute of Technology. Welcome to the Uncertainty Quantification Group, in the Department of Aeronautics and Astronautics. We are part of the Aerospace Computational Design Laboratory. And affiliated with the Center for Computational Engineering. 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?

4

UQGroup | Announcements

http://uqgroup.mit.edu/announcements

Massachusetts Institute of Technology. Sep 2, 2016. Congratulations to Alex Gorodetsky for successfully defending his PhD thesis! Congratulations to Tiangang Cui for accepting a tenure-track position at Monash University, in the School of Mathematical Sciences. 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. Jan 31, 2016. Congratulations to Antoni Musolas for passing his PhD qualifying exam!

5

UQGroup | Journal Articles

http://uqgroup.mit.edu/publications/articles

Massachusetts Institute of Technology. Books and Other Press. Preprints — Published Articles. A Gorodetsky, S. Karaman, Y. M. Marzouk. Function-train: a continuous analogue of the tensor-train decomposition. View on arXiv.org. Http:/ arxiv.org/abs/1510.09088. Function-train: a continuous analogue of the tensor-train decomposition. P Conrad, A. Davis, Y. M. Marzouk, N. Pillai, A. Smith. Parallel local approximation MCMC for expensive models. View on arXiv.org. Https:/ arxiv.org/abs/1607.02788. Article { t...

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Jobs, theses, internships. Login · Register. Connected Consortiums and Funded Projects. Scientific Societies and Research Groups. Connected Consortiums and Funded Projects. Repet Deep Inside Computer Experiments) Consortium - DICE. Deep Inside Computer Experiments) Consortium. Calcul Intensif Stochastique et Sûreté des Systèmes Industriels). Probabilistic Models for Natural Hazards). Groupe Fiabilité et Incertitudes de la SFdS. Groupe de Travail Incertitudes et Industrie) de l'IMdR. De l'INSU CNRS. 2011-...

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Faculty | Aerospace Computational Design Laboratory

http://acdl-web.mit.edu/faculty

Skip to main content. Aerospace Computational Design Laboratory. Jean Sofronas, Administrative Assistant. Aerospace Computational Design Laboratory. Massachusetts Institute of Technology. Cambridge, MA 02139-4307.

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People | Active Subspaces

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Department of Applied Mathematics and Statistics. Colorado School of Mines. Department of Aerospace Engineering and Engineering Mechanics. Insitute for Computational Engineering and Sciences. The University of Texas at Austin. Department of Aeronautics and Astronautics. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Massachusetts Institute of Technology. Colorado School of Mines. Jen Jefferson, Colorado School of Mines. Carson Kent, Stanford University.

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UQGroup - Home

Massachusetts Institute of Technology. Welcome to the Uncertainty Quantification Group, in the Department of Aeronautics and Astronautics. We are part of the Aerospace Computational Design Laboratory. And affiliated with the Center for Computational Engineering. 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?

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Roject (GUDMAP) is a consortium of international laboratories collaborating to provide a comprehensive expression map of the mouse GU tract. The various groups involved are utilising different expression tools, including in situ. Hybridisation (ISH) and microarrays, to gather data which is then distributed to the scientific community via a web based database http:/ www.gudmap.org. Last Modified: Thursday, 22-Oct-2009 09:55:52 EST.