Dr. Amy Braverman is a Senior Research Scientist at the Jet Propulsion Laboratory,
California Institute of Technology, in Pasadena, CA. She is the Technical Group Lead for Statistical Methods and Applications in the Uncertainty Quantification and Statistical Analysis Group of the Instrument Operations and Science Data Systems Section. After graduating from Swarthmore College in 1982 with a B.A. in Economics, Dr. Braverman worked for nearly a decade in litigation support consulting. She returned to graduate school at UCLA in the early 1990’s where she earned an M.A. in Mathematics and Ph.D. in Statistics. She began her statistics career as a post-doc at JPL in 1999 and has been with the Lab ever since. Dr. Braverman’s early work was in the use of data compression methods for analysis of massive data sets. As her career advanced she has worked in spatial and spatiotemporal statistics, statistical methods for the evaluation of climate models, and most recently in Uncertainty Quantification. She has been at the forefront of JPL’s efforts to bring rigorous UQ to the derivation of geophysical information from remote sensing observations collected by NASA and JPL instruments, and is the recipient of the 2021 NASA Exceptional Public Service Medal for that effort. Dr. Braverman is a Fellow of the American Statistical Association, and the Chair-Elect for its Uncertainty Quantification Interest Group; previously she was the Chair of the SIAM Uncertainty Quantification Activity Group. Finally, she finds special satisfaction in mentoring post-doc’s and young researchers to build capability in Statistics at JPL, and in collaborating with academic colleagues to connect their
research, and that of their graduate students, to JPL and NASA problems.
Peter Chien is a Professor of Statistics at the University of Wisconsin–Madison and a Fellow of the American Statistical Association. He has received a National Science Foundation CAREER Award and an IBM Faculty Award, and he served as Chair of the Management Committee for the American Statistical Association’s Spring Research Conference on Statistics in Industry and Technology. His work is adopted by Fortune 500 companies across industries including aerospace, automotive, semiconductors, electronics and life sciences.
Ralph C. Smith joined the North Carolina State University faculty in 1998, where he is presently a Distinguished University Professor of Mathematics. He is co-author of the research monograph Smart Material Structures: Modeling, Estimation and Control and author of the books Smart Material Systems: Model Development and Uncertainty Quantification: Theory, Implementation, and Applications. He is on the editorial boards of the Journal of Intelligent Material Systems and Structures, International Journal for Uncertainty Quantification, and the SIAM/ASA Journal on Uncertainty Quantification. He is the recipient of the 2016 ASME Adaptive Structures and Material Systems Award and the SPIE 2017 Smart Structures and Materials Lifetime Achievement Award. He was named a SIAM Fellow in 2018 and an ASME Fellow in 2022. His research areas include mathematical modeling and control of smart material systems, Bayesian model calibration, sensitivity analysis, and uncertainty quantification for physical and biological systems.
Tentative Participants : Session Organizers and Invited Speakers
Andrea Arnold — Worcester Polytechnic Institute
Annie Booth — Virginia Tech
Andrew Yarger — Purdue University
Arman Sabbaghi — Purdue University
Arvind Saibaba — NC State University
Beniamino Hadj-Hamar — University of South Carolina
Bill Fisher — JMP
Bobby Gramacy — Virginia Tech
Brian J. Reich — North Carolina State University
Byran Smucker — Henry Ford
Caroline Kerfonta — Boeing
Cheoljoon Jeong — Clemson University
Chi-Kuang Yeh — Georgia State University
Chih-Li Sung — Michigan State University
David Edwards — The Citadel
Dorit Hammerling — Colorado School of Mines
Dongbin Xiu — Ohio State University
Edgar Dobriban — University of Pennsylvania
Elle Buser — Emory University
Fangyi Luo — Procter & Gamble
Fenglian Pan — University of North Carolina at Charlotte
Feng Ye — Clemson University
Frederick Phoa — Academia Sinica, Taiwan
Guang Lin — Purdue University
Jie Min — University of South Florida
Jennifer Kensler — Shell
John Stufken — George Mason University
Jon Stallrich — North Carolina State University
Joey Hart — Sandia National Laboratories
JooChul Lee — Auburn University
Julia Walchessen — Carnegie Mellon University
Kaizheng Wang — Columbia University
Kamran Paynabar — Georgia Tech
Li-Hsiang Lin — Georgia State University
Liang Shi — Virginia Tech
Luke Hagar — University of Queensland
Laura Wendelberger — Lawrence Livermore National Laboratory
Michele Guindani — University of California, Los Angeles
Mikael Kuusela — Carnegie Mellon University
Mikyoung Jun — University of Houston
Mirjeta Pasha — Virginia Tech
Nathan Wycoff — University of Massachusetts Amherst
Nicholas Rios — George Mason University
Oksana Chkrebtii — Ohio State University
Ozge Surer — Miami University
Paul Wiemann — Ohio State University
Raed Al Kontar — University of Michigan
Rakhi Singh — Indian Institute of Technology
Reetam Majumder — University of Arkansas
Robert Lund — University of California, Santa Cruz
Rob Krafty — Emory University
Rong Pan — Arizona State University
Roshan Joseph — Georgia Institute of Technology
Rui Tuo — Texas A&M University
Sam Baugh — Penn State University
Shihao Yang — Georgia Tech
Shane Bookhultz — Tombras
Simon Mak — Duke University
Subhadeep Paul — Ohio State University
Tristan Contant — Colorado State University
Vladas Pipiras — University of North Carolina, Chapel Hill
Whitney Huang — Clemson University
William Consagra — University of South Carolina
Xiao Liu — Georgia Tech
XiaoChen Xian — Georgia Tech
Xinwei Deng — Virginia Tech
Xun (Ryan) Huan — University of Michigan
Yao Xie — Georgia Tech
Yeng Saanchi — JMP
Yili Hong — Virginia Tech
Yiming Xu — University of Kentucky
Youngdeok Hwang — Baruch College, City University of New York
Youngjin Cho — University of Nevada, Las Vegas