Group
If you are interested in joining our research group, please send a CV and transcript to sm769[at]duke.edu, with a description of your research background & interests.
PhD Students
Yi (Irene) Ji
Research: Computer experiments, uncertainty quantification, multi-fidelity modeling, software testing, sequential designÂ
Xiaojun Zheng
Research: Topological data analysis, anomaly monitoring, change-point detection
John Miller
Research: Bayesian optimization, computer experiments, transfer learning, statistical methods in physics & engineering
Kevin Li
Research: Scalable Bayesian computation, computer experiments, sequential design, Gaussian processes
Stephen Hahn
Research: Algorithmic composition, interpretable machine learning
Yen-Chun Liu
Research: Bayesian optimization, computer experiments, experimental design, Gaussian processes
Xinming Wang (visiting, Peking U)
Research: Transfer learning, computer experiments, multi-fidelity modeling, Gaussian processes
Difan Song (Georgia Tech)
Research: Experimental design, causal inference, reinforcement learning
Master's Students
Yinyihong (Emily) Liu
Research: Bayesian calibration, transfer learning, computer experiments
Ryan Tang
Research Interests: Computational advertising, online experiments, online optimization
Alumni
Postdoc
Ruda Zhang (Asst Prof. of Civil and Environmental Engineering, University of Houston)
Undergrad
Boxuan Li (graduated 2023, PhD student in Columbia IEOR)
Chen (Flora) Li (graduated 2023, PhD student in MIT EECS)
Ki Hyun (graduated 2022)
Priya Parkash (graduated 2022)
Nathan O'Hara (graduated 2021)
Dhruv Dadhania (graduated 2021, Software Engineer at Facebook)
Lavonne Hoang (graduated 2021, Analyst at Citi)
Sherry Hu (graduated 2021, Software Engineer at Facebook)
Yunyao Zhu (graduated 2021, Data Scientist at Faire)
Chiwan Kim (graduated 2020, Analyst at J. P. Morgan)
Alex Cuozzo (graduated 2020, Research Intern at Numenta)