Focus on Authors

Christopher Amaral (“Practice Paper—AI-Driven Behavioral Nudges for Organizations: An Integrative System for Sustainable Resource Management”) is an assistant professor of marketing at the University of Bath. His research applies econometric and machine learning methods to field and archival data, often in collaboration with industry and public sector partners, to better understand consumer behavior and improve managerial decision making in domains such as pricing, sales force management, and sustainability.

Eric T. Bradlow (“A Bayesian Dual Clustering Approach for Selecting Data and Parameter Granularities”) is the K.P. Chao Professor, professor of marketing, statistics and data science, education and economics, chairperson of Wharton’s Marketing Department, and vice-dean of AI & Analytics at Wharton. His research interests include Bayesian modeling, statistical computing, and developing new methodology for unique data structures with application to business problems. He is a fellow of the INFORMS Society for Marketing Science and past editor-in-chief of Marketing Science.

Lucy Gongtao Chen (“Strategic Capacity Commitment: A Channel Competition Perspective”) is an associate professor at the NUS Business School, National University of Singapore. Her research spans both marketing and operations. She received her PhD from the Johnson Graduate School of Management at Cornell University.

Mengjie (Magie) Cheng (“The Value of Silence: The Effect of UMG’s Licensing Dispute with TikTok on Music Demand”) is currently a PhD candidate in marketing at Harvard Business School. She received her MS in management science and engineering from Stanford University. Her research focuses on content marketing, digital marketing, and generative AI. She combines economics principles and behavioral insights with machine learning and causal inference to inform strategic marketing decisions in the digital era.

Rex Yuxing Du (“Leveraging Large-Scale Granular Single-Source Data for TV Advertising: An Identification Strategy”) is the Shelby H. Carter Jr. and Patricia Carter regents professor of global business marketing at the McCombs School of Business, University of Texas at Austin. His research advances knowledge in advertising effectiveness, online consumer interest tracking, brand health measurement, market response modeling, customer relationship management, and new product diffusion. In 2018, he was named to the inaugural class of Marketing Science Institute Scholars.

Da He (“Price Caps by Matching Platforms: The Case of Ticket Resales”) is an assistant professor in marketing at Xiamen University. He earned his PhD in marketing from the Hong Kong University of Science and Technology. His research centers on designing digital platforms and assessing their managerial and policy implications. He also explores innovation’s impacts on society and the environment.

Tsung-Yiou Hsieh (“Leveraging Large-Scale Granular Single-Source Data for TV Advertising: An Identification Strategy”) is an assistant professor of marketing at the Spears School of Business, Oklahoma State University. His research examines advertising effectiveness, marketing analytics, and digital media using large-scale data and modern causal and econometric methods. He received his PhD in business administration from the University of Houston and previously served as a postdoctoral research associate at Northeastern University.

Iina Ikonen (“Practice Paper—AI-Driven Behavioral Nudges for Organizations: An Integrative System for Sustainable Resource Management”) is an assistant professor of marketing at the University of Groningen and a fractional lecturer of marketing at the University of Bath. She holds a PhD in marketing from Vrije Universiteit Amsterdam. Her research focuses on the societal impact of marketing using mixed research methods, especially focusing on outcomes relating to consumer health and well-being as well as sustainability.

Raghuram Iyengar (“A Bayesian Dual Clustering Approach for Selecting Data and Parameter Granularities”) is the Miers-Busch, W’1885 Professor, professor of marketing at the Wharton School of the University of Pennsylvania. His research interest is in the area of modeling individual decisions across a variety of contexts. His research has been published in Journal of Marketing Research and Marketing Science. He is a co-editor for Journal of Marketing Research. He has previously served on the editorial board of Marketing Science and as an area editor for Management Science.

Mingyung Kim (“A Bayesian Dual Clustering Approach for Selecting Data and Parameter Granularities”) is an assistant professor of marketing at The Ohio State University. She is interested in developing statistical and machine learning methods to address marketing problems, including methodological challenges and issues emerging from new data types and regulations. She has received the ISMS Doctoral Dissertation Award and has been a finalist for the Marketing Section of the American Statistical Association’s Doctoral Dissertation Award.

Ceren Kolsarici (“Practice Paper—AI-Driven Behavioral Nudges for Organizations: An Integrative System for Sustainable Resource Management”) is the Ian R. Friendly Fellow, the Director of the Scotiabank Centre for Analytics and AI, and an associate professor at the Smith School of Business, Queen’s University. Her research focuses on consumer response to marketing actions, and causal inference using behavioral and artificial intelligence-driven methods. She has served as an expert witness and consultant for organizations, including the Competition Bureau of Canada, Duracell, and Booking.com among others.

Jae-Yun Lee (“Communicating Attribute Importance Under Competition”) holds a PhD in management engineering from the College of Business, KAIST. His research interests include signaling, advertising, and strategic communication.

Wei Shi Lim (“Strategic Capacity Commitment: A Channel Competition Perspective”) retired from the NUS Business School as an associate professor. Her research interests lie at the intersection of marketing and operations. She obtained her PhD from the London School of Economics and Political Science.

Song Lin (“Price Caps by Matching Platforms: The Case of Ticket Resales”) is an associate professor of marketing at HKUST. He earned his PhD from MIT. His research covers generative AI, advertising, pricing, platform design, innovation, and consumer behavior. His work appears in top journals like Marketing Science and Journal of Marketing Research. He is an associate editor at Marketing Science and has received numerous awards from INFORMS, MSI, and AMA.

Yi Liu (“Data and Algorithms: Strategic Disclosure of Competitiveness on Platforms Through Marketplace Analytics”) is an assistant professor of marketing at the Wisconsin School of Business, University of Wisconsin–Madison. His major research interests lie in building theoretical models about technology (e.g., artificial intelligence) and online platforms to study their impact on customers and firms. His research often illustrates some unexpected and understudied impact of technology adoption.

Fei Long (“Data and Algorithms: Strategic Disclosure of Competitiveness on Platforms Through Marketplace Analytics”) is an assistant professor of marketing at Kenan-Flagler Business School at University of North Carolina at Chapel Hill. Her recent research focuses on digital marketplaces and artificial intelligence–enabled markets. She has successfully published her work in high-impact journals, including Marketing Science and Journal of Marketing Research. Her educational background includes a PhD in business from Columbia Business School and an MS in operations research from Columbia University.

Shijie Lu (“Leveraging Large-Scale Granular Single-Source Data for TV Advertising: An Identification Strategy”) is the Howard J. and Geraldine F. Korth Associate Professor of Marketing at the Mendoza College of Business, University of Notre Dame. His research focuses on advertising, user-generated content, competitive strategy, and digital piracy and has appeared in Marketing Science, Management Science, Journal of Marketing Research, Journal of Marketing, and Journal of Consumer Research. He currently serves as an associate editor for Marketing Science and Journal of Marketing.

Elie Ofek (“The Value of Silence: The Effect of UMG’s Licensing Dispute with TikTok on Music Demand”) is the Malcolm P. McNair Professor of marketing at Harvard Business School. He received his PhD in business and MA in economics from Stanford University. His research focuses on innovation strategies in technology-driven business environments. He also examines the implications of information technology, artificial intelligence, and digital/social media on firms’ product/content offerings as well as on their branding and marketing mix efforts.

Louis-Daniel Pape (“Is Competition Only One Click Away? The Digital Markets Act’s Impact on Google Maps”) is an assistant professor of economics at Télécom Paris. He studied economics and philosophy at the University of Cambridge and the London School of Economics, and he earned his PhD at École Polytechnique, where he investigated topics in digital economics, competition, and labor markets. His research examines how technological change, labor mobility, and employer competition shape outcomes in digital sectors.

Nicole Robitaille (“Practice Paper—AI-Driven Behavioral Nudges for Organizations: An Integrative System for Sustainable Resource Management”) is an associate professor and a Distinguished Teaching and Research Fellow of Marketing at the Smith School of Business, Queen’s University. Her research uses lab and field experiments to study consumer behavior, decision making, and policy-relevant behavior. She has advised the Financial Consumer Agency of Canada and the Ontario and Canadian Behavioural Insights Units. She earned her PhD from the University of Toronto’s Rotman School of Management.

Michelangelo Rossi (“Is Competition Only One Click Away? The Digital Markets Act’s Impact on Google Maps”) is an associate professor of marketing at HEC Paris (École des hautes études commerciales de Paris) and was formerly an assistant professor of economics at Télécom Paris. He earned his PhD from Universidad Carlos III de Madrid, including a visiting period at the Rotman School of Management, University of Toronto. His research focuses on digital economics, including reputation systems, rating behavior, entry costs, and market digitization.

Ehsan Saremi (“Automated Targeted Bidding for Sponsored Ads on E-Commerce Platforms”) is an assistant professor of business analytics at DePauw University. He earned his PhD in marketing from the Naveen Jindal School of Management at the University of Texas at Dallas in 2025.

Jiwoong Shin (“Communicating Attribute Importance Under Competition”) is a professor of marketing at Yale University. His research was recognized with the John D. C. Little Best Paper Award and was a finalist for the Long-Term Impact Award. He was named an MSI Young Scholar in 2011 and MSI Scholar in 2018. He currently is a senior editor for Marketing Science and an associate editor at Journal of Marketing Research, Management Science, and Quantitative Marketing and Economics. He has served as vice president of education for INFORMS Society for Marketing Science.

Upender Subramanian (“Automated Targeted Bidding for Sponsored Ads on E-Commerce Platforms”) is a professor of marketing at the University of Texas at Dallas. He joined UT Dallas in 2009 after earning his PhD in marketing from the Wharton School at the University of Pennsylvania.

Hema Yoganarasimhan (“The Value of Silence: The Effect of UMG’s Licensing Dispute with TikTok on Music Demand”) is a professor of marketing at the University of Washington. She received her PhD, MA, and MPhil in marketing and business from the Yale School of Management. Her research brings together large-scale marketing data, economic theory, econometrics, generative AI, and machine-lsearning tools to help firms optimize and automate their marketing decisions.

Jungju Yu (“Communicating Attribute Importance Under Competition”) is an associate professor at the College of Business, KAIST. His research focuses on branding, targeted advertising, and strategic communication. He has served as a reviewer on the editorial board of Marketing Science since 2022 and was named a 2023 MSI Young Scholar.

Shuguang Zhang (“Strategic Capacity Commitment: A Channel Competition Perspective”) is an associate professor in the School of Business Administration, Faculty of Business Administration, Southwestern University of Finance and Economics. His research spans across both marketing and operations. He received his PhD from Chongqing University and previously served as a postdoctoral research fellow at the National University of Singapore.