Uncertainty Quantification
Machine Learning for Enviromnetal Research
Machine Learning for Biomedical Research
Spatio-Temporal Modeling
2009-2014
PhD Statistics, Pennsylvania State University
2007-2009
MS Statistics, Korea University
2000-2007
BS Statistics, Korea University
Associate Professor, Department of Mathematical Sciences, University of Cincinnati, July 2022 – Aug 2024
Assistant Professor, Department of Mathematical Sciences, University of Cincinnati, August 2016 – June 2022
Postdoctoral Scholar, Department of Statistics, University of Chicago, August 2014 – July 2016
Cho, D., Chang, W., Park, J. (2024+) Fast Computer Model Calibration using Annealed and Transformed Variational Inference, accepted for publication in the Journal of Computational and Graphical Statistics
Lee, M. P., Hoang, K., Park, S., Song, Y. M., Joo, E. Y., Chang, W., Kim, J. H. , Kim, J. K. (2023) Imputing Missing Sleep Data from Wearables with Neural Networks in Real-World Settings, SLEEP, 47 (1), zsad266
Chang, W., Konomi, B. A., Karagiannis, G., Guan, Y., Haran, M. (2022) Ice model calibration using semi-continuous spatial data, the Annals of Applied Statistics, 16 (3), 1937-1961
Bhatnagar, S., Chang, W., Kim., S., Wang, J. (2022) Computer Model Calibration with Time Series Data using Deep Learning and Quantile Regression, SIAM/ASA Journal on Uncertainty Quantification, 10 (1), 1-26 (Winner of the 2021 American Statistical Association Section on Statistics and the Environment Student Paper Competition)
Chang, W., Haran, M., Applegate, P.J., and Pollard, D. (2016) Calibrating an ice sheet model using high-dimensional binary spatial data, Journal of the American Statistical Association, 111 (513), 57-72.
2021
Elected Member, International Statistical Institute (ISI)
2019
Career Development Award, Korean International Statistical Society
2014
First Place Winner, American Statistical Association Section on Statistics and the Environment Student Paper Competition
2009-2010
Graduate Fellow, Eberly College of Science, the Pennsylvania State University
