AI@CBS

Dan Wang is Lambert Family Professor of Social Enterprise and (by courtesy) Sociology at Columbia Business School, where he is also the Co-Director of the Tamer Institute for Social Enterprise and Climate Change.  His research examines how social networks drive social and economic transformation through the analysis of global migration, social movements, organizational innovation, and entrepreneurship.

Gita V. Johar (PhD NYU 1993; MBA Indian Institute of Management Calcutta 1985) has been on the faculty of Columbia Business School since 1992 and is currently the Meyer Feldberg Professor of Business. Professor Johar received the Distinguished Alumnus award from IIMC in 2019. She served as the school’s inaugural Vice Dean for Diversity, Equity and Inclusion from 2019 to 2021, Faculty Director of Online Initiatives from 2014 to 2017, Senior Vice Dean from 2011 to 2014, and as the inaugural Vice Dean for Research from 2010 to 2011.

Daniel Guetta is Associate Professor of Professional Practice at Columbia Business School. His research focuses on the ways companies can harness the power of data and analytics to drive value. He teaches classes in business analytics, including data science, pricing, supply chain management, and technical tools such as python and cloud computing. He has authored award-winning case studies in the area with a number of companies, and co-authored "Python for MBAs".

Professor Chan teaches the MBA core Operations Management course and the MBA electives, The US Healthcare System: Structures and Strategies; Healthcare Management, Design, and Strategy; and The Analytics Advantage. Her research is in the area of healthcare operations management. Her primary focus is in data-driven modeling of healthcare systems. Her research combines empirical and mathematical modeling to develop evidence-based approaches to improve patient flow.

Professor Netzer's expertise centers on one of the major business challenges of the data-rich environment: developing quantitative methods that leverage data to gain a deeper understanding of customer behavior and guide firms' decisions. He focuses primarily on building statistical and econometric models to measure consumer preferences and understand how customer choices change over time, and across contexts. Most notably, he has developed a framework for managing firms' customer bases through dynamic segmentation.

Ashli Carter is a Lecturer in the Management Division at Columbia Business School. Currently, she teaches topics in leadership, negotiations, and cultivating a growth mindset in the MBA and Executive Education programs, as well as for CBS administrators and staff. Prior to joining CBS faculty, she taught MBA and undergraduate courses in leadership and professional ethics at NYU Stern where she was an Assistant Professor/Faculty Fellow of Management and Organizations.

Omar Besbes's primary research interests are in the area of data-driven decision-making with a focus on applications in e-commerce, pricing and revenue management, online advertising, operations management and general service systems. His research has been recognized by multiple prizes, including the 2019 Frederick W. Lanchester Prize, the 2017 M&SOM society Young Scholar Prize, the 2013 M&SOM best paper award and the 2012 INFORMS Revenue Management and Pricing Section prize. He serves on the editorial boards of Management Science and Operations Research.