Xiaohui Chang (pronounced as "Shao-Way Chung") is a Toomey Faculty Fellow and Associate Professor of Business Analytics in the College of Business, OSU. Dr. Chang earned her bachelor's degrees in Economics and Statistics (Honors) from the University of Chicago, and her Ph.D. in Statistics from the University of Chicago. She joined OSU in 2014.
Dr. Chang's research interests include machine learning, business analytics, spatial statistics, and spatio-temporal modeling. She is experienced in developing novel and efficient methods for important applications in business analytics, information systems, finance, and environmental science. Her research work has been published in premier and high-impact journals, such as the Journal of the American Statistical Association, Journal of Machine Learning Research, IEEE Transactions, Biometrics, Information Systems Frontier, Expert Systems with Applications, Information Technology & People, Quantitative Finance, and many others. She was awarded the Prominent Scholar Award for Excellence in Research by the College in 2020 and 2021.
During her time at OSU, Dr. Chang has developed and delivered many business analytics and business statistics classes in a wide range of formats (in-person, online, synchronous). In her classes, Dr. Chang prioritizes student learning of relevant and applicable skills with real-life data and scenarios and adopts creative and innovative tools and results-driven techniques. She was invited by OSU Ecampus to share her tips on how to effectively engage and connect with online students: Click Here and Click Here. She was also awarded the Byron L. Newton Excellence in Undergraduate Teaching Award and the Betty & Forrest Simmons Excellence in Graduate Teaching Award in 2018 and 2023, respectively.
Currently, Dr. Chang is also the Professional Development Coordinator of the Business Analytics program at OSU and the faculty advisor of the Business Analytics Club, a student-led group that provides a platform for students who are interested in developing their skills and fueling their passion for a data-driven career.