Rachel Chung

Rachel Chung, Ph.D.

Clinical Associate Professor

Email: rachel.chung@mason.wm.edu

Program: Online MSBA

Ph.D., Business Administration/Management Information Systems, University of Pittsburgh
Ph.D., Psychology, University of Pittsburg
MS, Information Science, University of Pittsburgh

Area: Artificial Intelligence

Expertise: Financial Fraud, Business Analytics, Knowledge Management

Dr. Tingting (Rachel) Chung is Clinical Associate Professor of Operations and Information Systems. She holds a Ph.D. in Business Administration/Management Information Systems, a Ph.D. in Psychology, and a Master of Science in Information Science, all from the University of Pittsburgh.

Dr. Chung is highly engaged in the Business Analytics community. In 2016, Dr. Chung received an IBM Faculty Award in the Cognitive Computing category. In 2018, Dr. Chung served as a visiting scholar at Vietnam National University - International School and taught enterprise analytics and database. In 2019, Dr. Chung served on the Advisory Board of the NSF-funded project on Big Data Education at Penn State University , and co-hosted the 3rd Data Science Educator Workshop. In 2019, Dr. Chung received Community Partner of the Year Award, Houston Methodist Hospital, on behalf of INFORMS , with Dr. Louis Luangkesorn. In 2020, Dr. Chung received the Faculty Excellence Award from the Master of Science in Business Analytics (MSBA) program William & Mary. Currently, Dr. Chung teaches Machine Learning II and Advanced Modeling Techniques at the Mason School of Business.

Dr. Chung has published in top journals including Communications of the ACM, Journal of Managerial Psychology, International Journal of Production Economics, Journal of Information & Knowledge Management, AIS Transactions on HCI, and Omega. She has also given numerous presentations at international conferences, including ICIS, AoM, INFORMS, and SIGCSE. Dr. Chung’s research has been supported by Institute of Fraud Prevention (IFP), and National Security Agency. Dr. Chung is member of AIS and ACM.