Spyros Zoumpoulis is an assistant professor of Decision Sciences at INSEAD. His research is on using analytics to optimize decision making, with applications in marketing, healthcare, and revenue management. His current focus is on investigating how to design, and use data from, experiments in order to make optimal personalized decisions, as well as how to evaluate […]

Yehua Wei is an Associate Professor in the Decision Sciences area at Fuqua School of Business. He received his Ph.D. in Operations Research from MIT in 2013. His research interest can be broadly defined as decisions under uncertainty, including optimization problems on operational and strategical levels. More recently, he has been working on topics in […]

Assaf Zeevi is Professor and holder of the Kravis chair at the Graduate School of Business, Columbia University. His research and teaching interests lie at the intersection of Operations Research, Statistics, and Machine Learning. In particular, he has been developing theory and algorithms for reinforcement learning, Bandit problems, stochastic optimization, statistical learning and stochastic networks. […]

Assaf Zeevi is Professor and holder of the Kravis chair at the Graduate School of Business, Columbia University. His research and teaching interests lie at the intersection of Operations Research, Statistics, and Machine Learning. In particular, he has been developing theory and algorithms for reinforcement learning, Bandit problems, stochastic optimization, statistical learning and stochastic networks. […]

Jiding Zhang is an Assistant Professor of Operations Management at NYU Shanghai. Jiding's primary research interests lie in the field of marketplace analytics. In her recent work, she analyzes the operations and economics of various digital platforms using both data analytic and mathematical modeling tools. She is also interested in developing data-driven methods for analysis […]