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Rachel Chung

Rachel Chung

Clinical Professor

Area: Operations and Information Systems Management
Phone: 757-221-2108
Email: [[m|rachel.chung]]
Office: Miller Hall 3019

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Biography

Biography

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 expertise 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-hosed the 3rd Data Science Educator Workshop. 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 Raymond A. 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 a member of AIS and ACM.

Areas of Interest/Expertise

  • Financial Fraud
  • Business Analytics
  • Knowledge Management

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