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 design 

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

Undergrad