Chih-Li Sung
Assistant Professor, Department of Statistics & Probability
Location: C418 Wells Hall
Phone: 151-735-5958
Email: sungchih@msu.edu
Website: https://chihli.github.io/
CV: Download CV
Bio
Chih-Li Sung is an Assistant Professor in the Department of Statistics and Probability at Michigan State University. His research interests include computer experiment, uncertainty quantification, machine learning, big data, and applications of statistics in engineering. He was awarded Statistics in Physical Engineering Sciences (SPES) Award from ASA in 2019. He is currently an associate editor for Technometrics and Computational Statistics & Data Analysis (CSDA). His research is supported by NSF DMS 2113407. Chih-Li Sung received a Ph.D. at the Stewart School of Industrial & Systems Engineering at Georgia Tech in 2018. He was jointly advised by Profs. C. F. Jeff Wu and Benjamin Haaland. He also received a B.S in applied mathematics and an M.S. in statistics from National Tsing Hua University in 2008 and 2010, respectively.
Selected Publications
- Mak, S., Sung, C.-L., , Yeh, S.-T., Wang, X., Chang, Y.-C., Joseph, V. R., Yang, V., and Wu, C. F. J. (2018). An efficient surrogate model for emulation and physics extraction of large eddy simulations. Journal of the American Statistical Association, 113(524):1443-1456. View Publication
- Sung, C.-L. (2022). Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak. Annals of Applied Statistics, 16(4), 2505-2522. View Publication
- Sung, C.-L., Barber, B. D., and Walker, B. J. (2022) Calibration of inexact computer models with heteroscedastic errors. SIAM/ASA Journal on Uncertainty Quantification, 10(4), 1733-1752. View Publication
- Sung, C.-L., Gramacy, R. B., and Haaland, B. (2018). Exploiting variance reduction potential in local Gaussian process search. Statistica Sinica, 28(2):577-600. View Publication
- Sung, C.-L., Hung, Y., Rittase, W., Zhu, C., and Wu, C. F. J. (2020). A generalized Gaussian process model for computer experiments with binary time series. Journal of the American Statistical Association, 115(530), 945-956. View Publication
- Sung, C.-L., Hung, Y., Rittase, W., Zhu, C., and Wu, C. F. J. (2020). Calibration for computer experiments with binary responses and application to cell adhesion study. Journal of the American Statistical Association, 115(532), 1664-1674. View Publication
- Sung, C.-L., Wang, W., Plumlee, M., and Haaland, B. (2020). Multi-resolution functional ANOVA for large-scale, many-input computer experiments. Journal of the American Statistical Association, 115(530), 908-919. View Publication