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.
Dr. 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.
Dr. 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.
Organizers and Speakers
Emmanuel Agbeli, Bowling Green State University
Andrea Arnold, Worcester Polytechnic Institute
Sakshi Arya, Case Western Reserve University
Sam Baugh, Penn State University
Annie Booth, Virginia Tech
Andrew Brown, Clemson University
Elle Buser, Emory University
Lei Cao, Northwestern University
Chun-Yi Chang, Michigan State University
Ray-Bing Chen, National Tsing Hua University, Taiwan
Qiyuan Chen, University of Michigan
Oksana Chkrebtii, Ohio State University
Youngjin Cho, University of Nevada, Las Vegas
William Consagra, University of South Carolina
Tristan Contant, Colorado State University
Xinwei Deng, Virginia Tech
Edgar Dobriban, University of Pennsylvania
David Edwards, The Citadel
Bill Fisher, JMP
Jingyi Feng, Georgia Institute of Technology
Wenyu Gao, University of North Carolina at Charlotte
Colin Gallanger, Clemson University
Bobby Gramacy, Virginia Tech
Prithwish Ghosh, North Carolina State University
Michele Guindani, University of California, Los Angeles
Luke Hagar, The University of Queensland
Beniamino Hadj-Hamar, University of South Carolina
Dorit Hammerling, Colorado School of Mines
Songqiao Han, King’s College London
Joey Hart, Sandia National Laboratory
Whitney Huang, Clemson University
Youngdeok Hwang, Baruch College, City University of New York
Cheoljoon Jeong, Clemson University
Roshan Joseph, Georgia Institute of Technology
Mikyoung Jun, University of Houston
Lulu Kang, University of Massachusetts Amherst
Jennifer Kensler, Shell
Sajad Khodadadian, Virginia Tech
Hwanwoo Kim, Duke University
Rob Krafty, Emory University
Mikael Kuusela, Carnegie Mellon University
Courtney Kyger, Virginia Tech
Jonghyeok Lee, Georgia Institute of Technology
Minxi Li, George Mason University
Li-Hsiang Lin, Georgia State University
Wei-Ann Lin, National Central University
Xiao Liu, Georgia Institute of Technology
Robert Lund, University of California, Santa Cruz
Fangyi Luo, Procter & Gamble
Reetam Majumder, University of Arkansas
Simon Mak, Duke University
Jie Min, University of South Florida
Stefani Mokalled, Boeing
Rong Pan, Arizona State University
Fenglian Pan, University of North Carolina at Charlotte
Mirjeta Pasha, Virginia Tech
Subhadeep Paul, Ohio State University
Kamran Paynabar, Georgia Institute of Technology
Frederick Phoa, Academica Sinica, Taiwan
Vladas Pipiras, University of North Carolina, Chapel Hill
Brian J Reich, North Carolina State University
Nicholas Rios, George Mason University
Arman Sabbaghi
Yeng Saanchi, JMP
Indranil Sahoo, Virginia Commonwealth University
Arvind Saibaba, North Carolina State University / Clemson University
Davide Sartor, University of Massachusetts Amherst
Liang Shi, Virginia Tech
Byran Smucker, Henry Ford
Vadim Sokolov, George Mason University
Difan Song, Georgia Institute of Technology
John Stufken, George Mason University
Chih-Li Sung, Michigan State University
Piotr Suder, Duke University
Ozge Surer, Miami University
Zibo Tian, University of Florida
Rui Tuo, Texas A&M University
Simon Vandekar, Vanderbilt University
Julia Walchessen, Carnegie Mellon University
Kaiwen Wang, Davidson College
Kaizheng Wang, Columbia University
Maria Weese, Miami University
Laura Wendelberger, Lawrence Livermore National Laboratory
Paul Wiemann, Ohio State University
Xiaochen Xian, Georgia Institute of Technology
Xiulin Xie, Florida State University
Kexin Xie, Virginia Tech
Ziqiao Xu, George Mason University
Yiming Xu, University of Kentucky
Xunan Yang, University of South Carolina
Shihao Yang, Georgia Institute of Technology
Andrew Yarger, Purdue University
Feng Ye, Clemson University
Chi-Kuang Yeh, Georgia State University
Wei-Yang Yu, Georgia Institute of Technology
Shangtong Zhang, University of Virginia
Fan Zhang, Boise State University
Qiong Zhang, Clemson University
Wei Zheng, University of Tennessee
Shixiang (Woody) Zhu, Carnegie Mellon University