About – Tomer Geva

Tomer Geva is a (tenured) senior lecturer at Tel-Aviv University and the head of the Business Data Science 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 both Management Journals and Data Science Journals including: MIS Quarterly (MISQ), Information Systems Research (ISR), Production and Operations Management (POMS), Decision Support Systems, IEEE TKDE, and Data Mining and Knowledge Discovery. His work also benefited from generous funding by different foundations and companies including: Israel Science Foundation (ISF), Marketing Science Institute (MSI), and Google. Tomer served 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 post-doctoral research scientist at Google. Prior to his Ph.D. studies, he held various engineering and management positions in the high-tech industry.