About Me
I am a Ph.D. candidate in the Department of Statistics and Probability at Michigan State University, advised by Dr. Chih-Li Sung.
My research focuses on developing statistical methods for learning from complex computer simulations. I work on surrogate modeling, uncertainty quantification, and sequential learning, with a particular interest in deep Gaussian processes. My work aims to build flexible predictive models and guide the selection of informative simulation runs when computational resources are limited.
I am currently on the job market and expected to graduated by July 2027. Please feel free to contact me about opportunities related to my research interests.
I received my M.S. in Applied Statistics from Michigan State University and my B.B.A. in Statistics from National Taipei University.
Outside of research, I enjoy playing volleyball, watching dramas, and traveling.
News
Nov. 2026 — Our R package, deepICMGP, is now available on CRAN.
Oct. 2026 — Our preprint, Efficient Deep Gaussian Process Surrogates via Mini-Batch Latent MAP Estimation, is now available on arXiv.
Aug. 2026 — I will present Efficient Deep Gaussian Process Surrogates via Mini-Batch Latent MAP Estimation at the 2026 INFORMS Annual Meeting in San Francisco.
Aug. 2026 — Our paper, Deep Intrinsic Coregionalization Multi-Output Gaussian Process Surrogate with Active Learning, has been published in the International Journal for Uncertainty Quantification!
May 2026 — I was selected for the IMSI Summer Internship Program, which includes a two-week data science boot camp followed by research in Dr. Wendy Yang’s lab, applying statistical learning methods to study factors influencing soil greenhouse gas emissions measured across multiple chambers.
May 2026 — I received the NISS New Researcher Award and presented Efficient Deep Gaussian Process Surrogates via Mini-Batch Latent MAP Estimation at the 2026 ASA/IMS Spring Research Conference.
May 2026 — I received the Dissertation Completion Fellowship from the College of Natural Science at Michigan State University.