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Yonatan Gur is an Assistant Professor at Stanford University’s Graduate School of Business. His research lies in the intersection of revenue management and service operations, with a focus on (i) developing principles and practical methods of data-driven learning and sequential optimization in dynamic and strategic environments; and (ii) studying the implications of these on market design, experiment design, and service provision in online marketplaces and platforms, including ad auction platforms, recommendation systems, and social networks. Such markets present competitive landscapes characterized by complexity, uncertainty, and non-stationarity. These features drive new operational challenges that are fundamental for increasing revenue streams as well as for maintaining long-run sustainability in many online services. Prior to joining Stanford in 2014 he received his PhD in Decision, Risk, and Operations from Columbia Business School. He also holds a B.Sc. degree from the School of Physics and Astronomy and an M.Sc. from the School of Mathematical Sciences, Tel Aviv University.