Overview
Dr. Kwon is an Assistant Professor, graduate coordinator for the MS in Mathematical Data Science program, and the director of the Center for Data Science in the Department of Mathematics and Statistics at Wichita State University. He earned his Ph.D. in Statistics from the Fox School of Business at Temple University, with a dissertation on nonparametric empirical Bayes estimation for multiple variances. He also holds an M.S. in Operations Research with a specialization in Financial Engineering from Columbia University, an M.S. in Mathematical Statistics from Korea University, and a B.S. in Statistics from Korea University.
Before joining Wichita State, Dr. Kwon served as an Assistant Professor at the University of Central Arkansas. His professional background includes extensive industry experience as a quantitative analyst, principal portfolio analyst, and senior credit risk analyst. He developed and validated predictive models for credit risk, bankruptcy, fraud detection, and portfolio management, and collaborated with Fair Isaac Corporation and Experian on large-scale credit risk modeling projects.
Dr. Kwon’s research interests include empirical Bayes methods, parameter estimation, discrete probability distributions, and statistical applications in business, finance, and data science. He is also actively engaged in teaching a wide range of undergraduate and graduate statistics courses, including probability theory, statistical inference, regression analysis, and machine learning. Beyond the classroom, he has mentored undergraduate and graduate students on research projects spanning statistical theory and applied data science.
At Wichita State University, Dr. Kwon continues to pursue research at the intersection of statistical theory and applications, while fostering collaborations across disciplines such as nursing, education, and the social sciences as the director of the Center for Data Science.
Information
- Empirical Bayes Estimation
- Discrete Probability Distributions of Order k
- Shrinkage Estimators
- Statistics Education
- Machine Learning
- Generalized Linear Models
- Quantitative Finance
- Mathematical Portfolio Theory
- Probability Theory
- Statistical Inference