Gorkem Turgut (G.T.) Ozer is a member of the Decision Sciences faculty in the Paul College of Business and Economics. His research lies at the intersection of business, technology, and society, and involves the development and application of statistical and machine learning models to collect and analyze large-scale data for causal problem solving. Of particular interest are (1) the societal implications of digital platforms and markets (a.k.a. multisided platforms, sharing economy, peer-to-peer markets), and (2) how emerging information technologies and tools such as big data analytics and artificial intelligence affect decision making in organizations and society at large. He teaches the graduate courses “Predictive Analytics and Modeling,” “Big Data and Artificial Intelligence: Strategy & Analytics,” and “Managing Information Systems: Strategy, Software, and Data." He is a member of the Association for Information Systems (AIS), Association for Computing Machinery (ACM), Academy of Management (AOM), Strategic Management Society (SMS), and Institute for Operations Research and the Management Sciences (INFORMS). He serves on the advisory board of the Business Analytics Initiative and the Information Systems Society of INFORMS.
Prior to earning his Ph.D. in Information, Risk, and Operations Management from the McCombs School of Business, University of Texas at Austin, he completed doctoral work in Strategic Management. He holds an MBA with a thesis on cognitive biases in financial decision making and an MSc in Management Information Systems. Outside of academia, he has advised companies at the executive level on data centricity and digital transformation, founded tech companies as an entrepreneur, and mentored startups on strategy making in technology ecosystems. He is a backcountry camper, nature lover, coder, and Go player, who cares and acts for the good of the other 8.7 million species.