Current Ph.D. Students

Arvind Krishna
Thesis: Calibration and Optimization of Computer Models with applications to Acoustics and Materials Discovery, July 2021.

Jialei Chen
Thesis: Engineering-Driven Learning Approaches for Bio-Manufacturing and Personalized Medicine, May 2021.

Akhil Vakayil
Research interests: Optimal methods for data compression, splitting, and twinning.

Chaofan (Bill) Huang
Research interests: Bayesian computation, Sampling Techniques, Experimental design, Model calibration,…

Shangkun Wang
Research interests: Uncertainty quantification,…


Former Ph.D. Students

“Contribution to the analysis of experiments using empirical Bayes techniques,” 2006.
Current position: Lead Data Scientist, The Climate Corporation, San Francisco, CA.

Ying Hung
“Contributions to computer experiments and binary time series,” 2008.(co-advisor: Jeff Wu).
Current position: Professor, Department of Statistics, Rutgers University, New Jersey.

Lulu Kang
“Computer and physical experiments: design, modeling, and multivariate interpolation,” 2010.
Current position: Associate Professor, Department of Applied Mathematics, Illinois Institute of Technology, Chicago.

Shan Ba
“Multi-Layer Designs & Composite Gaussian Process Models with Engineering Applications,” 2012.
Current position: Data Science Applied Researcher, LinkedIn, Sunnyvale, CA.

Chia-Jung Chang
“Statistical and Engineering Methods for Model Enhancement,” 2012 (co-advisor: Jan Shi).
Current position: Quantitative Risk Manager, State Street Corporation, Boston, MA.

Huan Yan
“Statistical Adjustment, Calibration, and Uncertainty Quantification of Complex Computer Models,” 2014.
Current position: Quantitative Analytics Consultant, Wells Fargo, Charlotte.

Matthew Plumlee
“Fast Methods for Identifying High Dimensional Systems Using Observations,” 2015, (co-advisor: Jan Shi).
Current position: Assistant Professor, Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL.

Li Gu
“Minimum Energy Designs: Extensions, Algorithms, and Applications,” 2016, (co-advisor: Jeff Wu).
Current position: Applied Scientist II, Amazon, Inc.

Evren Gul
“Designs for Computer Experiments and Uncertainty Quantification,” 2016.
Current position: Sr. Data Scientist, Loyalty One, Chicago.

Fang Cao
“Advances in Calibration and Interpolation: Censored and Big Data Applications,” 2017.
Current position: Wells Fargo Securities Associate, Wells Fargo, Charlotte, NC.

Simon Mak
“Recent Advances on the Reduction and Analysis of Big and High Dimensional Data,” 2018. (co-advisor: Jeff Wu).
Current position: Assistant Professor, Department of Statistical Science, Duke University, Durham, NC.

Li-Hsiang Lin
“Computer and Biological Experiments: Modeling, Estimation, and Uncertainty Quantification,” 2020. (co-advisor: Jeff Wu).
Current position: Assistant Professor, Department of Experimental Statistics, Louisiana State University, LA.