About me

Chih-Li Sung (pronounced CHI LEE 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, and applications of statistics in engineering. His research is supported by NSF DMS 2113407 and NSF DMS 2338018.

He was awarded NSF CAREER Award (2024-2029), and 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).

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.

News

• 📌 I’m very honored and grateful to receive the NSF CAREER Award.
• [April 2024] Our lab hosted an engaging event: “Rolling the Dice: Unveiling Normal Distributions” as part of the MSU Science Festival. Our booth provided a fun and hands-on learning experience, helping learners of all ages understand the concept of normal distribution through fun and interactive games.
• [March 2024] The paper “Stacking designs: designing multifidelity computer experiments with target predictive accuracy” is published in SIAM/ASA Journal on Uncertainty Quantification.
• [Feb 2024] The paper “A review on computer model calibration” is published in WIREs Computational Statistics.
• [Feb 2024] The paper “Mesh-clustered Gaussian process emulator for partial differential equation boundary value problems” has been accepted by Technometrics.

Special thanks to MSU, NSF DMS 2113407 and NSF DMS 2338018 for their support.