Biography:

Gregory Ramsey is an Associate Professor in the Information Science and Systems Department in the Earl G. Graves School of Business and Management at Morgan State University in Baltimore, Maryland. Gregory received a B.S. in Electrical Engineering from Duke University, an M.S. in Electrical Engineering from Georgia Institute of Technology, an MSIA from the Tepper School of Business at Carnegie Mellon University, and a Ph.D. in Business Administration (Information and Decision Sciences) from the Carlson School of Management at the University of Minnesota. His primary research interests include data analytics, supply chain digitalization, modeling/simulating processes, and process characterization. He teaches classes on systems analysis & design, computational thinking using programming, computer literacy, and data analytics.

Research Interests

Data Analytics, Supply Chain Digitalization, Modeling/Simulating Processes, and Process Characterization

Recent Publications:

Ramsey, G. W. (2019). Simulation, Selection, and Mechanical Turk: Can Cases Presented Online Help Us Learn About Shared Decision-making and Medical Malpractice?. Annals of Emergency Medicine, 74(1), 137.

Ramsey, G. W., & Bapna, S. (2019). Predicting Patient Turnover: Lessons From Predicting Customer Churn Using Free-Form Call Center Notes. In Computational Methods and Algorithms for Medicine and Optimized Clinical Practice (pp. 108-132). IGI Global. 

Ramsey, G. W., Johnson, P. E., O’Connor, P. J., Sperl-Hillen, J. M., Rush, W. A., & Biltz, G. (2016). Examining Failure in a Dynamic Decision Environment: Strategies for Treating Patients with a Chronic Disease. Advances in Healthcare Informatics and Analytics, 103-124.

Ramsey, G., & Bapna, S. (2016). Text Mining to Identify Customers Likely to Respond to Cross-Selling Campaigns: Reading Notes from Your Customers. International Journal of Business Analytics (IJBAN), 3(2), 33-4.