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

Kevin Li

Research: Scalable Bayesian computation, computer experiments, Gaussian processes

Yen-Chun Liu

Research: Bayesian optimization, computer experiments, experimental design

Jaehoan Kim

Research: Physics-informed ML/AI, Gaussian processes, computer experiments

Li Fan

Research: Bayesian optimization, inverse problems, tensor modeling

Vivek Singh

Research: Physics-informed ML/AI, system identification, Bayesian optimization

Patrick Woitschig

Research: Change-point detection, high-dimensional statistics

Derek Cho

Research: Computer experiments, Bayesian optimization

Difan Song (Georgia Tech)

Research: Computer experiments, density estimation, uncertainty quantification

Postdocs

Stephen Ni-Hahn

Research: Generative modeling, interpretable ML/AI, algorithmic composition

Hwanwoo Kim

Research: Computer experiments, Bayesian optimization, uncertainty quantification

Alumni

Postdoc

Ruda Zhang (Asst Prof. of Civil and Environmental Engineering, University of Houston)

PhD

Yi (Irene) Ji
- First position: Research Statistician Developer at JMP (subsidiary of SAS Institute)
Xiaojun Zheng
- First position: Mathematical Statistician at the US Food & Drug Administration
John Miller
- First position: Data Scientist at Meta
Xinming Wang (visiting, Peking University)

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)

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