Focus on Authors
Sebastián Araya (“Identifying Food Labeling Effects on Consumer Behavior”) has a master’s degree in economics from the University of Chile. He is specialized in econometrics models and data analysis, with a background as a mechanical engineer and project development. He has solid experience working for engineering companies applying econometric models and data analytics, and leading engineering teams since 2016.
Anocha Aribarg (“Editorial: Next Steps for Frontiers in Marketing Science”) is a professor in marketing at Ross School of Business, University of Michigan. Her research interests involve fusing psychology and consumer behavior theories with Bayesian statistical and econometric modeling to draw unique insights that help solve current marketing problems. In her research, she attempts to understand the processes underlying how consumers make both individual and joint choice decisions, search decisions, evaluate the consumption experiences and respond to firms’ product offerings and advertising. She is currently an associate editor at Marketing Science and International Journal of Research in Marketing. She teaches a Marketing Research and Analytics course at both the undergraduate and graduate levels. She received a PhD in Marketing from the University of Wisconsin.
Tat Chan (“Editorial: Next Steps for Frontiers in Marketing Science”) is the Philip L. Siteman Professor of Marketing at the Olin Business School, Washington University in St. Louis. He received a PhD in Economics at Yale University in 2001. His research interests are in empirical modeling consumer choice and firm competition using econometric methodologies. He has conducted various research projects in the domain of economics and marketing. His research has been published in top economics and marketing journals.
James D. Dana Jr. (“Intertemporal Price Discrimination in Sequential Quantity-Price Games”) is a professor of economics and strategy at Northeastern University. He holds a joint appointment in the Department of Economics and the D’Amore-McKim School of Business. He has a PhD in economics from the Massachusetts Institute of Technology. His research area is industrial organization and business strategy with a specialization in pricing under uncertainty, product bundling, price discrimination, revenue management, and the impact of market structure on pricing.
Preyas S. Desai (“Editorial: Next Steps for Frontiers in Marketing Science”) is the Spencer R. Hassell Professor of Business Administration at the Fuqua School of Business, Duke University. He received his PhD from Carnegie Mellon University. His research covers topics in marketing strategy, distribution channels, and marketing of durable products. He has previously served as the editor-in-chief of Marketing Science and a departmental editor of Management Science.
Andrés Elberg (“Identifying Food Labeling Effects on Consumer Behavior”) is an assistant professor in the School of Management of the Pontifical Catholic University of Chile. His research areas are quantitative marketing, empirical industrial organization, and applied econometrics. He received his PhD in economics from the University of California, Berkeley.
Liang Guo (“Strategic Communication Before Price Haggling: A Tale of Two Orientations”) is a professor of marketing at The Chinese University of Hong Kong. He received a PhD in Business Administration from UC Berkeley and a BA in Economics from Beijing University. His research interests include economics of psychology and marketing strategy. His research has been published in the Journal of Economic Theory, Journal of Marketing Research, Management Science, Marketing Science, etc. He serves as an associate editor at Management Science and a senior editor at POMS.
Sherry He (“The Market for Fake Reviews”) is a PhD student in Marketing at the UCLA Anderson School of Management.
Paul R. Hoban's (“Writing More Compelling Creative Appeals: A Deep Learning-Based Approach”) research focuses largely on digital marketing and consumption patterns, with the goals of better understanding consumer response and informing firm decision making. Much of this work has been around digital advertising, where he seeks to develop new methods for measuring advertising lift, understands the mechanisms underlying consumer response, and develops tools to optimize campaign performance. More recently, he has delved into causal machine learning, working to develop a deep learning-based decision support tool for crafting persuasive appeals. In other work, he explores the economic rationale underlying firm-created scarcity (i.e., “hype”), studying the psychological principles underlying ethical decision making, quantifying the impact of professional sponsorships, and studying how the firearms industry adjusts their messaging in response to mass shootings.
Brett Hollenbeck (“The Market for Fake Reviews”) earned his PhD in Economics from the University of Texas at Austin. He is an assistant professor of marketing at the UCLA Anderson School of Management.
Jiyeon Hong (“Writing More Compelling Creative Appeals: A Deep Learning-Based Approach”) is a PhD candidate in marketing at the University of Wisconsin-Madison, and she will join George Mason University as an assistant professor of marketing. In her research, she studies nonprofit organizations and proposes tools to help them meet their objectives for the greater good, leveraging advances in data science such as deep learning, natural language processing, and network analysis. She earned her bachelor’s degrees in statistics and business administration from Korea University in Seoul, South Korea, and a master’s degree in marketing from Korea University.
Jura Liaukonyte (“How Viewer Tuning, Presence, and Attention Respond to Ad Content and Predict Brand Search Lift”) is an associate professor in the SC Johnson College of Business at Cornell University. Her research interests lie at the intersection of quantitative marketing, applied microeconomics, and industrial organization. Her current investigations seek to uncover actionable insights from Big Data, quantify advertising impact on consumer choices, understand the impact of food labels, and incorporate insights from behavioral economics into traditional choice models.
Matthew McGranaghan (“How Viewer Tuning, Presence, and Attention Respond to Ad Content and Predict Brand Search Lift”) is an assistant professor at the Lerner School of Business and Economics at the University of Delaware. His research focuses on the economics of consumer attention and how people navigate the digital world. In his research, he leverages lab and field experiments, and partners with companies to study the drivers of real-world consumer choices.
Nitin Mehta (“Editorial: Next Steps for Frontiers in Marketing Science“) is a professor of marketing, and the area coordinator of marketing. His research focuses on structural models of consumer search, multi-category choices, imperfect recall and learning, consumers' healthcare decisions, economics of binge consumption, adoption of AI by firms and consumers, and the societal impact of AI. Four of his published papers have been finalists for the INFORMS Society of Marketing Science Long Term Impact Award and one of his published papers was a finalist for the INFORMS Society of Marketing Science John Little‘s Best Paper Award. He is currently serving as the associate editor at Marketing Science and at the International Journal of Research in Marketing.
Carlos Noton (“Identifying Food Labeling Effects on Consumer Behavior”) is an assistant professor in the Industrial Engineering Department at the University of Chile and a research associate at the Millennium Institute for Research in Market Imperfections and Public Policy. His research areas are quantitative marketing, empirical industrial organization, and applied econometrics. He earned his PhD in economics from the University of California, Berkeley.
Davide Proserpio (“The Market for Fake Reviews”) earned his PhD in computer science from Boston University. He is an assistant professor of marketing at the USC Marshall School of Business.
Daniel Schwartz (“Identifying Food Labeling Effects on Consumer Behavior”) is an assistant professor in the Department of Industrial Engineering at the University of Chile and a researcher at the Institute of Complex Engineering Systems. His research focuses on consumer behavior and behavioral economics to examine how people respond to economic incentives and information. He earned his PhD in Behavioral Decision Research from Carnegie Mellon University.
Upender Subramanian (“Editorial: Next Steps for Frontiers in Marketing Science”) is a professor of marketing at the Naveen Jindal School of Management at the University of Texas at Dallas. His research focuses on competitive and collaborative strategies employed by businesses in many market settings, including retailing, online platforms and the sharing economy. He employs methods from game theory, behavioral economics and experimental economics. He currently serves as an associate editor for Marketing Science, Quantitative Marketing and Economics and Service Science. He teaches a course on predictive analytics and the capstone course on marketing decision making for masters students. He received his PhD in Marketing from the Wharton School of Business.
Olivier Toubia (“Editorial: Next Steps for Frontiers in Marketing Science”) is the Glaubinger Professor of Business at Columbia Business School. His research focuses on various aspects of innovation, including preference measurement and idea generation. Specifically, he combines methods from social sciences and data science, in order to study human processes such as motivation, choice, and creativity. He currently serves as the Editor-in-Chief at the journal Marketing Science. He teaches a course on Foundations of Innovation and the core marketing course. He received his MS in Operations Research and PhD in Marketing from MIT.
Maferima Touré-Tillery (“The Good-on-Paper Effect: How the Decision Context Influences Virtuous Behavior”) is an associate professor of marketing at Northwestern University’s Kellogg School of Management. Her research is at the intersection of motivation and identity, focusing on ways in which people’s desire to maintain a positive view of themselves influences their judgments and goal-directed behaviors. Her work explores a wide range of consumer behaviors (e.g., charitable giving, cheating, healthy eating) with implications for marketers, managers, and public policy makers.
Lili Wang (“The Good-on-Paper Effect: How the Decision Context Influences Virtuous Behavior”) is an associate professor of marketing at the School of Management, Zhejiang University. She holds a PhD from the Antai Economic and Management School, Shanghai Jiaotong University. Her research centers on anthropomorphism, social sharing, consumer health behavior, and the impact technology on consumer behavior.
Kenneth C. Wilbur (“Editorial: Next Steps for Frontiers in Marketing Science” and “How Viewer Tuning, Presence, and Attention Respond to Ad Content and Predict Brand Search Lift”) is a professor in the Rady School of Management at UC San Diego. His research is at the intersection of advertising, media and technology. Ken serves as an Associate Editor for the Journal of Marketing Research and on the editorial review boards of Marketing Science, Journal of Marketing, and Marketing Letters. Ken was a faculty member at Duke University and the University of Southern California prior to joining UC San Diego.
Kevin R. Williams (“Intertemporal Price Discrimination in Sequential Quantity-Price Games”) is an associate professor of economics at the Yale School of Management, an affiliated faculty member of the Department of Economics, a research staff member of the Cowles Foundation, and a faculty research fellow at the National Bureau of Economic Research. His research interests are in industrial organization and applied microeconomics, with a focus on pricing, revenue management, retailing, and e-commerce. He obtained his PhD from the University of Minnesota in 2014.
