Focus On Authors

Asim Ansari (“Bayesian Nonparametric Customer Base Analysis with Model-Based Visualizations”) is the William T. Dillard Professor of Marketing at Columbia University. He received his Ph.D. in marketing from New York University. His current research focuses on Bayesian modeling for customer relationship management, personalization and customization of products and marketing actions, and preference measurement. His research has appeared in leading marketing journals, and he is on the editorial boards of Marketing Science and the Journal of Marketing Research. He has received the Paul E. Green Award from the American Marketing Association for his work on e-customization and his other research has been nominated for several other awards.

Pradeep Chintagunta (“Personalization in Email Marketing: The Role of Noninformative Advertising Content”) is the Joseph T. and Bernice S. Lewis Distinguished Service Professor of Marketing at the Booth School of Business, University of Chicago. He graduated from Northwestern University and has also served on the faculty of the Johnson School, Cornell University. 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 has been a visiting professor at Harvard University and Stanford University. He is currently the coordinating editor of Quantitative Marketing & Economics.

Ryan Dew (“Bayesian Nonparametric Customer Base Analysis with Model-Based Visualizations”) is a doctoral student in marketing at the Columbia Business School. He has an M.Phil. in marketing from Columbia University, and a B.A. in mathematics from the University of Pennsylvania. His research focuses on harnessing Bayesian statistical and machine learning methods to enhance and automate data-driven marketing management. His dissertation studies the time dynamics of purchasing, with applications to customer relationship management, digital marketing, and preference measurement.

David Godes (“The Evolution of Influence Through Endogenous Link Formation”) is a professor of marketing and is the Chair of the Marketing Department at the Robert H. Smith School of Business at the University of Maryland. He holds a Ph.D. and S.M. in management from the Massachusetts Institute of Technology and a B.S. in economics from the University of Pennsylvania. He joined the Smith School faculty after teaching for 10 years at Harvard Business School. His research interests include word of mouth, social networks, online reviews, two-sided platforms, and media and sales management. His work has appeared in top journals like Marketing Science, Management Science, and Quantitative Marketing & Economics and he has authored numerous case studies on leading global firms like Federal Express, Avon Products, Terumo, SKF, XM Satellite Radio, BMW, IBM, Hasbro, BzzAgent, and Lincoln Financial.

Anja Lambrecht (“Advertising to Early Trend Propagators: Evidence from Twitter”) is an associate professor of marketing at the London Business School. She holds a Ph.D. from Goethe University, and prior to her academic life worked as a consultant at McKinsey & Company. Her research focuses on digital marketing, especially targeting and advertising as well as promotion and pricing. Her work has been published in Marketing Science, Management Science, and the Journal of Marketing Research. In 2014 she received the Paul E. Green Award and in 2016 she was a finalist for the INFORMS Society of Marketing Science Long Term Impact Award.

Krista J. Li (“Behavior-Based Pricing in Marketing Channels”) is an assistant professor of marketing at the Kelley School of Business at Indiana University. She received her Master’s degree in international relations and economics from Yale University and her doctoral degree in marketing at Texas A&M University. She uses game theoretic and empirical methods to examine how firms strategically make product design decisions and how firms use customers’ purchase history data to target customers with tailored products and prices. Her research has appeared in Marketing Science, Management Science, and the Journal of Marketing.

Jeanine Miklos-Thal (“What Are We Really Good At? Product Strategy with Uncertain Capabilities”) is an associate professor of economics and management and of marketing at the Simon Business School, University of Rochester. Her research interests include learning in markets, channel management, competitive strategy, and pricing. She is a co-editor of the International Journal of Industrial Organization and an associate editor of Management Science.

Chris Nosko (“Competition and Crowd-Out for Brand Keywords in Sponsored Search”) is a Senior Economist at Amazon and an associate professor of marketing at the University of Washington’s Foster School of Business. Before that he was an assistant professor of marketing at the University of Chicago’s Booth School of Business. He received his Ph.D. in economics from Harvard University.

Tuan Q. Phan (“The Evolution of Influence Through Endogenous Link Formation”) is an assistant professor in the Department of Information Systems and Analytics at the National University of Singapore. He is an affiliated faculty member of the NUS Business Analytics Center and teaches in the undergraduate, graduate, and executive education program in big data and analytics. He received his doctorate from Harvard Business School and his Bachelor’s from MIT. His work in social networks and big data spans multiple disciplines including economics, marketing, consumer behavior, computer science, and statistics. His expertise covers various industries including retail and e-commerce, logistics and transportation, social media, news and video media, technology and consumer products, and FinTech.

Michael Raith (“What Are We Really Good At? Product Strategy with Uncertain Capabilities”) is an associate professor of economics and management at the University of Rochester’s Simon Business School. His research interests include incentive contracting, performance evaluation, and communication in organizations, and the interaction between organizations and markets. He is an associate editor for the Journal of Industrial Economics.

Justin M. Rao (“Competition and Crowd-Out for Brand Keywords in Sponsored Search”) is the Head Economist and Vice President of Data Science for HomeAway (parent to VRBO and other vacation rental websites). Prior to this, he was a Senior Researcher at Microsoft Research. He received his Ph.D. in economics from the University of California, San Diego and has published over 20 peer-reviewed articles.

Navdeep S. Sahni (“Personalization in Email Marketing: The Role of Noninformative Advertising Content”) is an associate professor of marketing at Stanford University. He received his Ph.D. from the University of Chicago. His research investigates fundamental issues in online marketing using experimentation and econometric methods.

Matthew Selove (“What Are We Really Good At?Product Strategy with Uncertain Capabilities”) recently joined the University of Florida as an assistant professor of marketing, and he was previously on the faculty at Chapman University. His research interests include dynamic models of product strategy and pricing. He is a recipient of the John A. Howard Doctoral Dissertation Award, and he has published his research in Marketing Science and Management Science.

Andrey Simonov (“Competition and Crowd-Out for Brand Keywords in Sponsored Search”) is an assistant professor at the Columbia Business School. Prior to joining Columbia University, he got his Ph.D. in marketing at the University of Chicago Booth School of Business.

Catherine Tucker (“Advertising to Early Trend Propagators: Evidence from Twitter”) is the Sloan Distinguished Professor of Management Science and professor of marketing at MIT Sloan. She is also Chair of the MIT Sloan Ph.D. Program. She holds a Ph.D. in economics from Stanford University, and a B.A. from the University of Oxford. She has particular expertise in online advertising, digital health, social media, and electronic privacy. Generally, most of her research lies in the interface between marketing, economics, and law.

J. Miguel Villas-Boas (“A Dynamic Model of Repositioning”) is the J. Gary Shansby Professor of Marketing Strategy at the Haas School of Business, University of California, Berkeley. He earned his Ph.D. in applied economics at MIT. He is an associate editor at Marketing Science and is on the editorial board of the International Journal of Research in Marketing. He has received the ISMS Long Term Impact Award, among other honors. His research on competitive strategy, pricing in the digital economy, choice, information, and assortment decisions with evaluation costs, industry dynamics, and corporate social responsibility has appeared in several journals, including Marketing Science, Management Science, Journal of Economic Theory, RAND Journal of Economics, Journal of Marketing Research, and Journal of Economics and Management Strategy.

S. Christian Wheeler (“Personalization in Email Marketing: The Role of Noninformative Advertising Content”) is the StrataCom Professor of Management and professor of marketing at Stanford University where he teaches courses on marketing management and research methodology. He received his B.A. from the University of Northern Iowa before moving to Ohio State University, where he completed his M.A. and Ph.D.

Caroline Wiertz (“Advertising to Early Trend Propagators: Evidence from Twitter”) is a professor of marketing at Cass Business School, City, University of London. She holds a Ph.D. from Maastricht University. Her main research interests lie in the areas of consumer research and new media marketing. She is interested in how social media change marketing practices and how digital consumption affects consumer practices. Her work has been published in leading academic journals and won a number of research awards, including the 2016 Sheth Foundation Best Paper Award and a 2016 Emerald Citations of Excellence Award.