Meet Your Professors
MABA professors come largely from the Carlson School's Information & Decision Sciences department. Widely recognized as a "birthplace" of the management information systems discipline, this highly ranked department has been actively collaborating with the industry for more than 50 years. In addition to teaching, many MABA professors are engaged in research projects with industry partners.
Information & Decision Sciences Faculty
MABA students learn from these and other faculty members*:
Gedas Adomavicius is a professor in the Department of Information and Decision Sciences at the Carlson School of Management, University of Minnesota, where he also holds the Larson Endowed Chair for Excellence in Business Education.
Professor Ravi Bapna's expertise lies in helping companies reframe their understanding of analytics, AI, and machine learning, and then leverage that understanding for competitive advantage.
My research interests lie in the areas of digital platforms, entrepreneurship, and gender gaps. Methodologically, I utilize randomized field experiments as well as econometric approaches for causal inference.
Dr. Xuan Bi is an Assistant Professor of Information and Decision Sciences in the Carlson School of Management at the University of Minnesota. His general research goal is to design data-driven solutions and provide decision support to benefit organizations and individuals. Dr.
Shawn Curley is a professor in the Information and Decision Sciences Department. He joined the Carlson School in September 1986 after completing an MA in mathematics and a PhD in psychology from the University of Michigan, Ann Arbor. His research interests are in individual decision-making -- how decisions are made and how they can be aided.
Dr. De Liu is a Xian Dong Eric Jing Professor of Information and Decision Sciences at the Carlson School of Management, University of Minnesota. He received his Ph.D. from the University of Texas at Austin, and his Master's and Bachelor's degrees from Tsinghua University.
Gautam Ray is a Professor at the Carlson School of Management at the University of Minnesota. His research interests are in the area of impact of IT on firm scope and structure, and how does IT create value.
Yuqing Ren is an Associate Professor and the Mary and Jim Lawrence Fellow at the Carlson School of Management. She holds a Ph.D. from Carnegie Mellon University. Her research focuses on human-robot collaboration, business use of social media, smartphone use, and computational modeling of social and organizational systems. Dr.
Assistant Professor Yicheng Song teaches predictive analytics. His research focuses on investigating digital user’s decision journey and the corresponding firm strategies using inter-discipline approaches: Machine Learning, Bayesian Modeling, Economic Structural Modeling and Reinforcement Learning.
Mani Subramani is an associate professor in the Department of Information and Decision Sciences at the Carlson School of Management, University of Minnesota. His research interests include Learning and Expertise Development, Knowledge Management in Firms and the Influence of technologies on Organizational Capabilities.
Carl Adams is professor of the Information and Decision Sciences Department. Research interests include the concept of IS/IT organizational capabilities and their relationship to IS/IT functional strategy, problem formulation as a critical skill, and the process of design as a general competence and specifically in the context of new process design and business development.
Paul Johnson is Carlson professor of Decision Sciences and adjunct professor of Psychology, Computer Science, and Health Informatics. He is a member of the Cognitive Sciences Center as well as the Center for Political Psychology.
J. David Naumann is an emeritus associate professor in the Information and Decision Sciences Department. His research interests focus on the management of information technology, especially the technology derived from and brought about by the Internet.
* Teaching assignments are subject to faculty availability and may change.