Tomer Geva is a (tenured) assistant professor at Tel-Aviv University and the head of the Business Analytics Program at Tel-Aviv University’s School of Management. Tomer founded this program in 2015.
Tomer Geva’s research interests includes developing Data Science methods for solving business problems, with specific interest in using large-scale online data for business decision making, and using machine learning and AI methods to manage workers in crowdsourcing and organizational environments.
Tomer’s research was published in various journals such as MIS Quarterly (MISQ), Information Systems Research (ISR), and Decision Support Systems, as well as conference proceedings such as ICIS. His work also benefited from generous funding by different foundations and companies including: Israel Science Foundation (ISF), Marketing Science Institute (MSI), and Google. Tomer serve as an Associate Editor for “Big Data” and “Decision Sciences” journals
Before joining Tel-Aviv University Tomer was a visiting scholar at NYU Stern School of Business and a research scientist at Google. Prior to his Ph.D. studies, he held various engineering and management positions in the high-tech industry.