### Books and book chapters

*Sampling via Measure Transport: An Introduction,*in Handbook of Uncertainty Quantification, Springer International Publishing, Cham, 2016, pp. 1–41.

*Information-driven experimental design in materials science,*in Information Science for Materials Discovery and Design, Springer International Publishing, Cham, 2016, pp. 13–44.

*Uncertainty Quantification,*in The Princeton Companion to Applied Mathematics, vol. II, Princeton University Press, 2015, ch. 34, pp. 131–134.

*Surrogate and reduced-order modeling: a comparison of approaches for large-scale statistical inverse problems,*in Computational Methods for Large Scale Inverse Problems and Uncertainty Quantification, L. Biegler, G. Biros, O. Ghattas, M. Heinkenschloss, D. Keyes, B. Mallick, Y. Marzouk, L. Tenorio, B. van Bloemen Waanders and K. Willcox eds., Wiley, 2010, ch. 7.

*Large-Scale Inverse Problems and Quantification of Uncertainty,*John Wiley & Sons, Ltd, 2010.

### Magazine articles & other press

*Confronting energy and environment’s toughest challenges with computational engineering,*AeroAstro Magazine No. 7, 2009–2010.

##### Announcements

**April 2020**

Congratulations to Robert Ren for winning an NSF Graduate Research Fellowship!

**November 2019**

Congratulations to Jakob Zech for accepting a faculty position in the Institute of Applied Mathematics at the University of Heidelberg!

**September 2019**

Congratulations to Ben Zhang for winning the MathWorks Fellowship from the MIT School of Engineering.

**May 2019**

Congratulations to Zheng Wang for successfully defending his PhD thesis!

**February 2019**

Congratulations to Fengyi Li for passing her doctoral qualifying exams.

**May 2018**

Congratulations to Andrew Davis for successfully defending his PhD thesis!