Focus on Authors
Wilfred Amaldoss (“Sustainable Consumption: A Strategic Analysis”) is the Thomas A. Finch Jr. Endowment Professor and a professor of marketing at the Fuqua School of Business at Duke University. He holds a PhD from the Wharton School of the University of Pennsylvania. His publications have appeared in Marketing Science, Management Science, Journal of Marketing Research, Journal of Economic Behavior and Organization, and Journal of Mathematical Psychology. His work has received the John D. C. Little award and the Frank Bass award. He is an associate editor of Management Science.
Sriya Anbil (“The Value of Professional Ties in B2B Markets”) is a group manager in the Money Market Analysis section, Division of Monetary Affairs, at the Board of Governors of the Federal Reserve. Her research is focused on the effects of monetary policy on money markets, lending facilities, and financial intermediation within money markets. She has published in leading finance journals such as the Journal of Financial Economics.
Dirk Bergemann (“Frontiers: The Intended and Unintended Consequences of Privacy Regulation for Consumer Marketing”) is the Douglass and Marion Campbell Professor of Economics at Yale. He has a PhD in Economics from the U Penn. He is a fellow of the American Academy of Arts and Sciences and of the Econometric Society. He is currently Co-Editor of American Economic Review: Insights. He is also the Founding Director of the Center of Algorithm, Data and Market Design at Yale University. His research is in the area of game theory, information economics and market design.
Xinlei (Jack) Chen (“Is the Money Spent on Short-Form Video Social Platforms Worth It? The Role of Advertising Spillover in a Large-Scale Randomized Field Experiment on ByteDance”) is a professor of marketing at the Cheung Kong Graduate School of Business. He holds a PhD in marketing from the Carlson School of Management, University of Minnesota.
Yubo Chen (“Is the Money Spent on Short-Form Video Social Platforms Worth It? The Role of Advertising Spillover in a Large-Scale Randomized Field Experiment on ByteDance”) is the Coca-Cola chair professor of Marketing at the School of Economics and Management, Tsinghua University. He holds a PhD in marketing from the Warrington College of Business, University of Florida.
Khai Chiong (“Mass Shootings and Their Impact on Retail”) is an assistant professor of marketing at the Naveen Jindal School of Management at the University of Texas at Dallas. His research draws from econometrics, machine learning, and artificial intelligence, developing tools to help marketers and businesses make better decisions. He holds a BA from the University of Cambridge and a PhD from the California Institute of Technology (Caltech).
Cheng Chou (“CCP Estimation of Dynamic Discrete Choice Demand Models with Segment Level Data and Continuous Unobserved Heterogeneity: Rethinking EV Subsidies vs. Infrastructure”) is a manager of data science at Discover Financial Services, where he leads initiatives in optimizing collection strategies, including customer outreach and product experience design. He also teaches pricing strategy & analytics at California State University, Long Beach, and machine learning at University of California, Los Angeles. His work has been published in leading academic journals, including Marketing Science and Journal of Applied Econometrics.
Mert Demirer (“Frontiers: The Intended and Unintended Consequences of Privacy Regulation for Consumer Marketing”) is an assistant professor at the MIT Sloan Applied Economics Group and a faculty research fellow at the National Bureau of Economic Research. Prior to joining MIT Sloan, he was a postdoctoral researcher at Microsoft Research. He received my PhD in economics from MIT in 2020. His research focuses on firm productivity, the use of digital technologies by firms, antitrust, and the productivity effects of generative AI.
Tim Derdenger (“CCP Estimation of Dynamic Discrete Choice Demand Models with Segment Level Data and Continuous Unobserved Heterogeneity: Rethinking EV Subsidies vs. Infrastructure”) is an associate professor of marketing and strategy at Carnegie Mellon’s Tepper School of Business. His research interests are divided into two areas: the study of technology and sports markets. He has publications in Journal of Marketing Research, Marketing Science, Management Science, Marketing Letters, and Customer Needs and Solutions. He is an associate editor for Management Science and former member of the editorial review board for Marketing Science.
Jean-Pierre Dubé (“Frontiers: The Intended and Unintended Consequences of Privacy Regulation for Consumer Marketing”) is the James M. Kilts Distinguished Service Professor of Marketing at Chicago Booth, director of the Kilts Center for Marketing, Faculty Research Fellow at the NBER and Academic Trustee for MSI. He has a BSc from the University of Toronto and a PhD in economics from Northwestern University. Department Editor at Management Science, his research studies consumer behavior and marketing decision-making and has been published in the leading economics and marketing journals.
Avi Goldfarb (“Frontiers: The Intended and Unintended Consequences of Privacy Regulation for Consumer Marketing”) is the Rotman Chair in Artificial Intelligence and Healthcare, and Prof of Marketing at the Rotman School of Management, University of Toronto. He is also Chief Data Scientist at the Creative Destruction Lab, a Research Associate at the NBER and a research lead at the Acceleration Consortium. A former Senior Editor at Marketing Science, his research focuses on economics digital technology and artificial intelligence. Avi received his PhD in economics from Northwestern University.
Jonne Y. Guyt (“Banning Unsolicited Store Flyers: Does Helping the Environment Hurt Retailing?”) is an associate professor of marketing at Amsterdam Business School, University of Amsterdam, with a PhD from Tilburg University. His research addresses critical societal issues related to responsible retailing. Jonne’s research has been published in the Journal of Marketing, Journal of Marketing Research, and Organization Science, among others. He was awarded a Vidi grant, won the European Marketing Academy dissertation award, and received several best paper awards.
Shengnan Han (“Is the Money Spent on Short-Form Video Social Platforms Worth It? The Role of Advertising Spillover in a Large-Scale Randomized Field Experiment on ByteDance”) is a data scientist. He is an independent researcher. He was previously employed by ByteDance.
Garrett Johnson (“Frontiers: The Intended and Unintended Consequences of Privacy Regulation for Consumer Marketing”) is an assistant professor of marketing at the Questrom School of Business, Boston University. Garrett Johnson researches digital marketing: measuring its effectiveness and examining its privacy issues. He has a PhD from Northwestern University and a BA from the University of British Columbia. Prior to Boston University, he taught at Simon Business School and Kellogg School of Management.
Kristopher O. Keller (“Banning Unsolicited Store Flyers: Does Helping the Environment Hurt Retailing?”) is an assistant professor at the University of North Carolina at Chapel Hill's Kenan-Flagler Business School. His research falls into two streams: private labels, particularly their transition into true brands, and responsible retailing, studying retailing initiatives and their societal (such as reducing sugar content and soda taxes) and environmental implications (bottle deposits and bans of paper store flyers). He received his PhD from Tilburg University.
Seung Mok (Simon) Kim (“Mass Shootings and Their Impact on Retail”) is a PhD student in marketing at the University of Texas at Dallas, where he specializes in quantitative marketing. Prior to his PhD, he studied economics at the University of Auckland in New Zealand.
TI Tongil Kim (“Mass Shootings and Their Impact on Retail”) is an associate professor of marketing at the University of Texas at Dallas. His research focuses on understanding consumer decisions by combining data sets and applying statistics, economics, and econometrics to develop marketing and policy insights and includes patients’ choices and health outcomes in response to marketing instruments and policy changes in the healthcare industry, responses concerning climate change and crime, and competitive marketing strategy in franchising.
TI Tongil Kim (“Expert’s Recommendations in Product Choices: Information Provision, Conflicts of Interest, and Consumer Protection among U.S. Kidney Disease Patients”) is an associate professor of marketing at UT Dallas. He holds an MS from Stanford and a PhD from UC Berkeley, and he previously taught at Emory University. His research focuses on marketing and the Sustainable Development Goals, especially healthcare, climate change, and crime. He was named a 2024 Marketing Science Institute Scholar and a 2023 INFORMS Marketing Science Early Career Camp Fellow.
Anja Lambrecht (“Frontiers: The Intended and Unintended Consequences of Privacy Regulation for Consumer Marketing”) is a Professor of Marketing at London Business School and an independent Digital Expert for the UK’s CMA. Her research focuses on digital markets, including targeting and advertising as well as pricing and promotions. She has received the Paul E. Green Award, the William F. O’Dell Award and the AMA TechSIG-Lazaridis Prize. She holds a Ph.D. from Goethe University, Frankfurt, and previously worked as consultant at McKinsey & Company.
Yitian (Sky) Liang (“Is the Money Spent on Short-Form Video Social Platforms Worth It? The Role of Advertising Spillover in a Large-Scale Randomized Field Experiment on ByteDance”) is an associate professor of marketing at the School of Economics and Management, Tsinghua University. He holds a PhD in Marketing from the Sauder School of Business, University of British Columbia.
Tesary Lin (“Frontiers: The Intended and Unintended Consequences of Privacy Regulation for Consumer Marketing”) is an Assistant Professor of Marketing at Boston University and holds the Isabel Anderson Career Development Professorship. Her research focuses on digital markets and the roles of consumer privacy and data analytics. She has a PhD from the University of Chicago. She won the John D.C. Little Best Paper Award, the Alessandro di Fiore Best Paper Award, the Sheth Foundation ISMS Doctoral Dissertation Award, and the MSI Alden G. Clayton Doctoral Dissertation Award.
Arjen van Lin (“Banning Unsolicited Store Flyers: Does Helping the Environment Hurt Retailing?”) is an associate professor of marketing at Tilburg University, where he also obtained his PhD. His research focuses on retailing, with a specific focus on topics related to price promotions, food and nutrition, and food waste. Arjen’s research has been published in Journal of Marketing Research, Journal of Consumer Research, and Management Science, among others. He was the winner of the 2024 Journal of Marketing Research Paul E. Green Award.
Haihao Lu (“Optimizing Scalable Targeted Marketing Policies with Constraints”) is an assistant professor of operations research/statistics at the MIT Sloan School of Management. He obtained his PhD degree in Mathematics and Operations Research at MIT in 2019. His research primarily focuses on extending the computational and mathematical boundaries of methods for solving the large-scale optimization problems that arise in data science, machine learning, and operations research.
John G. Lynch (“Frontiers: The Intended and Unintended Consequences of Privacy Regulation for Consumer Marketing”) is University of Colorado Distinguished Professor at the Leeds School of Business. He has a BA in economics and PhD in psychology from the University of Illinois at Urbana-Champaign. He is past exec director of MSI and 2025 AMA-Irwin-McGraw Hill Distinguished Marketing Educator of the Year. He received the Paul D. Converse Award for Outstanding Contributions to Marketing Science and SCP’s Distinguished Scientific Achievement Award. He studies consumer financial decision making.
Navid Mojir (“The Value of Professional Ties in B2B Markets”) is an assistant professor of marketing at Kenan-Flagler Business School of University of North Carolina (UNC) at Chapel Hill. He studies organizational buying and selling. His award-winning work has been published in leading marketing journals such as the Journal of Marketing Research and Management Science. Before joining UNC Kenan-Flagler, he was a faculty member at Harvard Business School.
Z. Eddie Ning (“Search Fatigue, Choice Deferral, and Closure”) is an assistant professor of marketing and behavioural science at the Sauder School of Business, University of British Columbia. He previously worked in economic consulting and at the Federal Reserve Bank of San Francisco. His research examines how consumer search and emerging technologies affect firm behaviors, market competition, and consumer welfare. Other research topics include cigarettes, product equity and inclusion, and open-access publication.
Siddharth Prusty (“Sustainable Consumption: A Strategic Analysis”) is a PhD candidate at the Fuqua School of Business, Duke University. This research was conceptualized and completed during his doctoral studies. He holds a master’s degree in operations from Columbia University and an undergraduate degree in electrical engineering from the Indian Institute of Technology, Kanpur. His previous work has appeared in the Proceedings of Machine Learning Research.
Reza Roshangarzadeh (“Expert’s Recommendations in Product Choices: Information Provision, Conflicts of Interest, and Consumer Protection among U.S. Kidney Disease Patients”) is an assistant professor of marketing at the Michael G. Foster School of Business, University of Washington. He holds a PhD in marketing from The University of Texas at Dallas. His research revolves around healthcare marketing, social media, public policies, and consumer protection. He was honored as a 2023 MSI Alden G. Clayton Doctoral Dissertation Honorable Mention.
Duncan Simester (“Optimizing Scalable Targeted Marketing Policies with Constraints”) is the NTU Professor of Management Science at the MIT Sloan School of Management. His research focuses on both substantive and methodological topics and uses a broad range of methods including economic theory, field experiments, machine learning, and optimization. He is a department editor at Management Science (marketing) and an ISMS Fellow.
Shervin Shahrokhi Tehrani (“Expert’s Recommendations in Product Choices: Information Provision, Conflicts of Interest, and Consumer Protection among U.S. Kidney Disease Patients”) is an assistant professor of marketing at the Naveen Jindal School of Management, The University of Texas at Dallas. He holds PhDs in marketing and mathematics from the University of Toronto. His research focuses on game theory, structural modeling, consumer choice behavior, and digital markets, with applications in healthcare, advertising, and retailing. His work has been published in leading journals, such as Marketing Science and Management Science.
Anna Tuchman (“Frontiers: The Intended and Unintended Consequences of Privacy Regulation for Consumer Marketing”) is a professor of marketing at Northwestern University’s Kellogg School of Management. She received a BA from the University of Pennsylvania, an MA in economics from Stanford University, and a PhD in marketing from the Stanford Graduate School of Business. Her research addresses economic questions related to advertising, pricing, and public policy.
Catherine Tucker (“Frontiers: The Intended and Unintended Consequences of Privacy Regulation for Consumer Marketing”) is the Sloan Distinguished Professor of Management and a professor of marketing at MIT Sloan, where she is the faculty director of the EMBA program. She leads the NBER Group on Digital Economics and AI. She holds a PhD in economics from Stanford University and a BA from the University of Oxford. She studies digital technology and policy.
J. Miguel Villas-Boas (“Search Fatigue, Choice Deferral, and Closure”) is the J. Gary Shansby Professor of Marketing Strategy at the Haas School of Business, University of California, Berkeley. He received the INFORMS Society for Marketing Science (ISMS) Long Term Impact Award and the Cheit Best Teaching Award among other honors. Villas-Boas has published works on competitive strategy, design of marketing organizations, distribution channels, customer relationship management, customer recognition, product line design, and industrial organization.
Yunfei (Jesse) Yao (“Reputation for Privacy”, “Search Fatigue, Choice Deferral, and Closure”) is an assistant professor at the Chinese University of Hong Kong. He earned a PhD in business administration from the University of California, Berkeley and a BS in mathematics and a BS in statistics from the University of Michigan. His research interests include strategic considerations of artificial intelligence and machine learning, privacy, consumer search, and information economics. Yao’s research work has been published in Management Science and Marketing Science.
Zikun Ye (“LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments”) is an assistant professor of marketing at the Foster School of Business, University of Washington. His research interests include digital marketing, platform operations, field experiment design, and machine learning methods.
Hema Yoganarasimhan (“LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments”) is a professor of marketing at the Foster School of Business, University of Washington. Her research brings together large-scale marketing data, economic theory, and econometric and machine learning tools to help firms optimize and automate their marketing decisions.
Jinglong Zhang (“Is the Money Spent on Short-Form Video Social Platforms Worth It? The Role of Advertising Spillover in a Large-Scale Randomized Field Experiment on ByteDance”) is a PhD candidate at the School of Economics and Management, Tsinghua University. He holds bachelor’s and master’s degrees in computer science from the Harbin Institute of Technology, China.
Yufeng Zheng (“LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments”) is a PhD student in operations management and statistics at the University of Toronto. His research focuses on online learning, revenue management, reinforcement learning, and the application of LLMs in formal mathematical reasoning.
Yuting Zhu (“Optimizing Scalable Targeted Marketing Policies with Constraints”) is an assistant professor of marketing at NUS, affiliated with IORA and GAI. She holds a PhD in Quantitative Marketing from MIT Sloan. Her research appears in Management Science, Marketing Science, and Marketing Letters. She received the Gary L. Lilien ISMS Practice Prize and was a finalist for the ASA Statistics in Marketing Doctoral Research Award, MSI China Conference Best Paper Award, and Shankar-Spiegel Dissertation Award. She serves on Marketing Science’s Editorial Board.
