Focus on Authors
Ron Bekkerman (“The Effect of Short-Term Rentals on Residential Investment”) is the chief technology officer of Cherre Inc., an Artificial Intelligence-powered real estate data integration platform. Prior to that, Ron was an assistant professor and director of the Big Data Science Laboratory at the University of Haifa, Israel; chief data officer of Viola Ventures; and a founding member of the data science team at LinkedIn. He received his PhD in machine learning from the University of Massachusetts, Amherst.
Inyoung Chae (“Paywall Suspensions and Digital News Subscriptions”) is an assistant professor of marketing at Sungkyunkwan University. She was previously on the faculty of Goizueta Business School at Emory University. She is an expert in the areas of digital marketing, social media marketing, and new media marketing. She develops and adopts various empirical models, including machine learning, Bayesian analysis, and econometrics, to understand consumer behaviors in such domains.
Pradeep K. Chintagunta (“Consumer Loyalty Programs and Retail Prices: Evidence from Gasoline Markets”) is the Joseph T. and Bernice S. Lewis Distinguished Service Professor of Marketing at the Booth School of Business, University of Chicago. He is interested in empirically studying consumer, agent and firm behavior, and more recently, “development marketing,” studying the role of marketing in economic development. He graduated from Northwestern University and has also served on the faculty of the Johnson School, Cornell University.
Maxime C. Cohen (“The Effect of Short-Term Rentals on Residential Investment”) is the Scale Artificial Intelligence Chair Professor of Retail and Operations Management, codirector of the Retail Innovation Laboratory, and a Bensadoun Faculty Scholar at McGill University. He has advised many companies in the technology sector and serves on the advisory board of several startups.
Paul B. Ellickson (“Estimating Marketing Component Effects: Double Machine Learning from Targeted Digital Promotions”) is the Michael and Diane Jones Professor of Business Administration at the University of Rochester’s Simon Business School. His research spans quantitative marketing, industrial organization, and econometrics with a focus on using structural econometric methods and causal machine learning approaches to understand consumer and firm behavior.
Brett R. Gordon (“Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement”) is a professor of marketing at the Kellogg School of Management at Northwestern University. He draws on methods from empirical industrial organization, causal inference, and machine learning to study topics in pricing, advertising, promotion, retailing, and innovation. He earned his PhD in economics from Carnegie Mellon University in 2007. He was previously on the faculty of Columbia Business School until 2014.
Jihyeon Ha (“Paywall Suspensions and Digital News Subscriptions”) is a PhD candidate in marketing at Emory University’s Goizueta Business School. His research interests lie in empirical modeling for digital marketing and social media contexts. His recent research uses machine learning techniques to extract information from multimodal unstructured data (text, image, and video).
Tingliang Huang (“Strategic Information Sharing of Online Platforms as Resellers or Marketplaces”) is the Amazon Distinguished Professor of Business Analytics at the Haslam College of Business, University of Tennessee, Knoxville, and an honorary faculty member at University College London (UCL), UK. He has published extensively in leading academic journals in both operations management and marketing. He received his PhD from the Kellogg School of Management, Northwestern University, MS from University of Minnesota, and BS from University of Science & Technology of China (USTC).
Wreetabrata Kar (“Estimating Marketing Component Effects: Double Machine Learning from Targeted Digital Promotions”) is an assistant professor of management in the Krannert School of Management at Purdue University. His research focuses on analyzing the effectiveness of marketing communications and promotions in both B2C and B2B settings. Methodologically, his interest lies in harnessing machine learning to develop scalable frameworks that can be used on high-dimensional data.
Edward Kung (“The Effect of Short-Term Rentals on Residential Investment”) is an assistant professor of economics and the Schweizer Faculty Fellow at California State University, Northridge, and a data science advisor at Ardius.
Quan Li (“Strategic Information Sharing of Online Platforms as Resellers or Marketplaces”) is a postdoctoral researcher at the School of Management, University of Science and Technology of China (USTC). His research has been published in mainstream journals of management including European Journal of Operational Research and IEEE Transactions on Systems: Man, and Cybernetics: Systems. He received his BS in information management and information system from Shanghai University in 2015 and PhD in management science and engineering from USTC in 2021.
Kathleen T. Li (“Augmented Difference-in-Differences”) is an assistant professor of marketing at the McCombs School of Business at the University of Texas at Austin. She received her PhD in marketing from the Wharton School, University of Pennsylvania and BA in Statistics, Economics and Mathematics from Rice University. She received the John A. Howard/AMA Dissertation Award in 2018.
Xiao Liu (“Dynamic Coupon Targeting Using Batch Deep Reinforcement Learning: An Application to Livestream Shopping”) is an associate professor of marketing at the Stern School of Business, New York University. She received her BS from Tsinghua University and her PhD from Carnegie Mellon University. She is the recipient of the V. “Seenu” Srinivasan Young Scholar Award in Quantitative Marketing, Frank Bass Award, Marketing Science Institute (MSI) Young Scholars Award, MSI Alden G. Clayton Award, and the INFORMS Society for Marketing Science Competition Award.
John G. Lynch, Jr. (“Cashing Out Retirement Savings at Job Separation”) is a University of Colorado Distinguished Professor at the Leeds School of Business, University of Colorado-Boulder. He was the founding director of the Center for Research on Consumer Financial Decision Making. In 2015, he was one of the 25 most cited marketing scholars in the world. He has received the Paul D. Converse Award for Outstanding Contributions to the Science of Marketing and the Society for Consumer Psychology's Distinguished Scientific Achievement Award.
John Maiden (“The Effect of Short-Term Rentals on Residential Investment”) is the former head of machine learning at Cherre Inc., an Artificial Intelligence-powered real estate data integration platform. He has extensive experience building machine learning solutions for the financial services industry and holds a PhD in physics from the University of Wisconsin, Madison.
Robert Moakler (“Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement”) is a quantitative researcher at Meta where he works on projects related to privacy, causal inference methodologies, and the impact of cross-channel marketing campaigns. He received his PhD in Information Systems from the NYU Stern School of Business in 2017. While attending NYU, Robert worked at Integral Ad Science where he did applied data science research that developed methods for causal inference using large-scale digital data with a focus on advertising.
Davide Proserpio (“The Effect of Short-Term Rentals on Residential Investment”) is an assistant professor of marketing at the University of Southern California. He is interested in the impact of digital platforms on industries and markets; most of his work focuses on the empirical analysis of a variety of companies, including Airbnb, TripAdvisor, and Expedia.
James C. Reeder, III (“Estimating Marketing Component Effects: Double Machine Learning from Targeted Digital Promotions”) is a visiting assistant professor of management in the Krannert School of Management at Purdue University. His research agenda focuses on understanding the effects of marketing interventions, such as digital promotions or personal selling. To quantify these effects, he blends advances in machine learning with both structural and counterfactual based estimation.
Federico Rossi (“Consumer Loyalty Programs and Retail Prices: Evidence from Gasoline Markets”) is assistant professor of marketing at the Krannert School of Management, Purdue University. His research focuses on empirically studying market frictions and their effect on firms’ market power and other market outcomes. Examples of market frictions in his studies are consumers’ search costs for acquiring price knowledge, the switching costs generated by loyalty programs, and the cost to post a tweet.
David A. Schweidel (“Paywall Suspensions and Digital News Subscriptions”) is the Rebecca Cheney McGreevy Endowed Chair and professor of marketing at Emory University’s Goizueta Business School. His research focuses on customer analytics with an emphasis on managing the customer journey. He is also actively conducting research on social media analytics, with a focus on extracting insights from unstructured data.
Christophe Van den Bulte (“Augmented Difference-in-Differences”) is Gayfryd Steinberg Professor and professor of marketing at the Wharton School. He received a PhD in business administration from the Pennsylvania State University. He is associate editor at Management Science and serves on the editorial boards of the Journal of Marketing, International Journal of Research in Marketing, and the Journal of Business-to-Business Marketing.
Yanwen Wang (“Cashing Out Retirement Savings at Job Separation”) is an associate professor in the Marketing and Behavioral Science Division, University of British Columbia Sauder School of Business, and the Canada Research Chair in Marketing Analytics. Her research lies at the intersection between marketing and public policy. She is associate editor at Marketing Science and serves on the editorial board of Journal of Marketing and Journal of Marketing Research. She was nominated as an MSI young scholar.
Yugang Yu (“Strategic Information Sharing of Online Platforms as Resellers or Marketplaces”) is a chair professor of logistics and operations management at the University of Science and Technology of China (USTC). His current research interests are in logistics, supply chain management, and business analytics. He has published more than 100 papers in academic journals. He was ranked as one of “the most cited researchers in the Mainland of China” in 2014–2022 by Elsevier and is vice president for the China Society of Logistics.
Florian Zettelmeyer (“Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advertising Measurement”) is the Nancy L. Ertle Professor of Marketing at the Kellogg School of Management at Northwestern University. He also founded and directs the Program on Data Analytics at Kellogg, the school’s Big Data and Analytics initiative. He works on evaluating the effects of digital technology and analytics on firms. He earned an MSc in economics from the University of Warwick (UK) and a PhD in marketing from the Massachusetts Institute of Technology.
Yong Zha (“Strategic Information Sharing of Online Platforms as Resellers or Marketplaces”) is an associate professor at the School of Management, the University of Science and Technology of China (USTC). His research interests include supply chain finance and platform-based supply chain and operations-marketing interface. He has published in Naval Research Logistics, European Journal of Operational Research, Omega, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Transportation Research Part E, and Computers and Operations Research. He received his PhD from USTC.
Muxin Zhai (“Cashing Out Retirement Savings at Job Separation”) is an assistant professor in the Department of Finance and Economics at Texas State University McCoy College of Business. She received her BS in economics from the University of Iowa and her MA and PhD in economics from the University of Washington. Her work appears in the Journal of Economic Behavior and Organization.
