Focus on Authors

Greg M. Allenby (“ Multiple-Constraint Choice Models with Corner and Interior Solutions ”) is the Helen C. Kurtz Chair in Marketing at Ohio State University. He specializes in the study of economic and statistical issues in marketing. His research deals with developing insights about consumer behavior from customer data routinely collected by most organizations. These insights are used to develop and improve product development, pricing, promotion, market segmentation, and target marketing activities. He is a fellow of the American Statistical Association, coauthor of Bayesian Statistics and Marketing (Wiley, 2005), and coeditor of Quantitative Marketing and Economics. André Bonfrer (“ Scalable Inference of Customer Similarities from Interactions Data Using Dirichlet Processes ”) is a professor of marketing at the School of Management, Marketing and International Business, Australian National University. He holds a Ph.D. degree in business and an MBA from the Graduate School of Business, University of Chicago. His research interests are in developing and applying econometric models in a variety of marketing science applications, focusing predominately on areas such as market response modeling, database marketing, retailing, telecommunications, advertising, and pricing. Michael Braun (“ Scalable Inference of Customer Similarities from Interactions Data Using Dirichlet Processes ”) is the Homer A. Burnell (1928) Career Development Professor and assistant professor of management science at the MIT Sloan School of Management. The core of his research program is in developing probability models to uncover patterns of customer behavior from complex data structures in business and marketing contexts, and in using those models to address practical marketing and management issues. He has written on, spoken on, and taught about applications of probability models to marketing problems as diverse as forecasting, customer retention, marketing returns on investment, social networking models, segmentation and targeting strategies, and real-time customization of website design. He also involved in developing efficient Bayesian statistical methods for the analysis of large data sets to meet the needs of managers in an increasingly data-driven marketplace. Jason A. Duan (“ Commentary—Reexamining Bayesian Model-Comparison Evidence of Cross-Brand Pass-Through ”) is an assistant professor of marketing at the McCombs School of Business, University of Texas at Austin. He received his Ph.D. in statistics and master's in economics from Duke University, and he was a postdoctoral research associate at the School of Management, Yale University before joining the University of Texas at Austin. His research interests are in the quantitative marketing areas, including structural and Bayesian statistical models. His research has appeared in academic journals such as Biometrika and the Journal of Marketing Research. Pushan Dutt (“ Crisis and Consumption Smoothing ”) is an associate professor of economics and political science at INSEAD, Singapore. He holds a Ph.D. in economics from New York University, a master's in economics from the Delhi School of Economics, and a bachelor's in economics from Presidency College, Kolkata. His research interests include economic development, international trade, and international finance. His work lies at the intersection of politics, institutions, and international economics. Avi Goldfarb (“ Online Display Advertising: Targeting and Obtrusiveness” ; “ Rejoinder—Implications of ‘Online Display Advertising: Targeting and Obtrusiveness’ ”) is an associate professor of marketing at the Rotman School of Management, University of Toronto. He received his Ph.D. from Northwestern University. His research primarily explores the impact of information technology on marketing, on universities, and on the economy. Other research examines brand value estimation and behavioral modeling in industrial organization. Sachin Gupta (“ A Regime-Switching Model of Cyclical Category Buying ”) is a professor of marketing and the Henrietta Johnson Louis Professor of Management at the Johnson Graduate School of Management at Cornell University. He received his Ph.D. from Cornell as well. His earlier papers have been honored with the O'Dell Award and the Paul Green Award of the American Marketing Association, and he is also the recipient of several teaching awards. Andreas Herrmann (“ Gut Liking for the Ordinary: Incorporating Design Fluency Improves Automobile Sales Forecasts ”) is a professor of marketing and director of the Center for Customer Insight at the University of St. Gallen, Switzerland. Steve Hillmer (“ Efficient Methods for Sampling Responses from Large-Scale Qualitative Data ”) is a professor in decision sciences at the School of Business, University of Kansas. He received his Ph.D. from the University of Wisconsin–Madison. His research has appeared in scholarly journals such as the Journal of the American Statistical Association, Journal of Financial Economics, Journal of Business and Economic Statistics, Applied Statistics, and Survey Methodology. Jaehwan Kim (“ Multiple-Constraint Choice Models with Corner and Interior Solutions ”) is an associate professor of marketing at the Korea University Business School in Seoul. He holds BBA (business) and MBA degrees from Korea University, an M.S. in statistics from the University of Iowa, and a Ph.D. in marketing from Ohio State University. His research is basically in model building for understanding market demand. He loves to talk about modeling research issues with his students and colleagues, especially at the “Modeling Lunch” seminar every Thursday. Aparna A. Labroo (“ Gut Liking for the Ordinary: Incorporating Design Fluency Improves Automobile Sales Forecasts ”) is an associate professor of marketing and the Robert King Steel Faculty Fellow at the Booth School of Business, University of Chicago. Jan R. Landwehr (“ Gut Liking for the Ordinary: Incorporating Design Fluency Improves Automobile Sales Forecasts ”) is an assistant professor of marketing at the University of St. Gallen, Switzerland. He holds a diploma degree in psychology from the University of Wuerzburg, Germany, and a Ph.D. in marketing from the University of St. Gallen, Switzerland. Leonard M. Lodish (“ Commentary—When Is Less More, and How Much More? Thoughts on the Psychological and Economic Implications of Online Targeting and Obtrusiveness ”) is the Samuel R. Harrell Professor; a professor of marketing; vice dean, Program for Social Impact; and leader and cofounder of the Global Consulting Practicum (GCP) at the Wharton School of the University of Pennsylvania. Mitchell J. Lovett (“ The Seeds of Negativity: Knowledge and Money ”) is an assistant professor of marketing at the University of Rochester, Simon Graduate School of Business. He received a Ph.D. in business administration from Duke University and an MBA from Boise State University. His research interests include advertising, targeted marketing, consumer learning, consumer decisions under uncertainty, and political marketing. Andrea M. Matwyshyn (“ Commentary—Discussion of ‘Online Display Advertising: Targeting and Obtrusiveness’ by Avi Goldfarb and Catherine Tucker ”) is an assistant professor in the Legal Studies and Business Ethics Department at the Wharton School of the University of Pennsylvania. She holds a Ph.D. and J.D. with honors from Northwestern University. She is a leading legal scholar in the fields of corporate data security, consumer information privacy, and the technology implications of contract law. Leigh McAlister (“ Commentary—Reexamining Bayesian Model-Comparison Evidence of Cross-Brand Pass-Through ”) is the Ed and Molly Smith Chair in Business Administration at the McCombs School of Business, University of Texas at Austin. She received her Ph.D. from Stanford University and served on the faculties of the University of Washington and the Massachusetts Institute of Technology before joining the University of Texas at Austin. Long associated with the Marketing Science Institute, she served there most recently as executive director. Her work with packaged goods manufacturers and grocery retailers influences her research and also motivated her collaboration with Barbara Kahn on the book Grocery Revolution: The New Focus on the Consumer. She strongly favors rigorous research that has managerial relevance. Carl F. Mela (“ A Dynamic Model of Sponsored Search Advertising ”) is the T. Austin Finch Foundation Professor of Marketing at Duke University, where he teaches brand management and the marketing core. His research focuses on the long-term effects of marketing activity, customer management, the Internet, and new media. His articles have appeared in the Journal of Marketing Research, Marketing Science, Journal of Marketing, Harvard Business Review, and Journal of Consumer Research, and they have received or been nominated for more than 20 best paper awards. His home page is located at http://www.duke.edu/∼mela . V. Padmanabhan (“ Crisis and Consumption Smoothing ”) is the John H. Loudon Professor of International Management at INSEAD, Singapore. His research has generated numerous honors, including recognition as among the top 10 most influential papers published in the 50 years of publication of Management Science (1954–2004). His current research interests include the implications of economic crises, business opportunities and challenges in developing economies, and social networks. Sungho Park (“ A Regime-Switching Model of Cyclical Category Buying ”) is an assistant professor of marketing at the

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