Focus on Authors
Huan Cao (“Product Safety and Liability with Deceptive Advertising and Moral Hazard”) is a lecturer in the School of Management at Jiangsu University of Technology. He received his PhD in management from East China University of Science and Technology. His current research interests include supply chain management, marketing-operations interface, and emergency management. His research has appeared in Production and Operations Management and Annals of Operations Research.
Naveed Chehrazi (“Inventory Information Frictions Explain Price Rigidity in Perishable Groceries”) is a professor of supply chain, operations, and technology in the Olin Business School at Washington University in St. Louis. He is broadly interested in the modeling and analysis of dynamic decision problems. From a methodological perspective, his research has been focused on Dynamic Programming and Optimal Control Theory. From a practical perspective, he has worked on problems related to consumer lending, healthcare policy, and retail operations.
Tinglong Dai (“Overdiagnosis and Undertesting for Infectious Diseases”) is the Bernard T. Ferrari Professor of Business at the Carey Business School, Johns Hopkins University. He holds a PhD in operations management/robotics from Carnegie Mellon University. His research has appeared in Management Science, Marketing Science, Operations Research, M&SOM, npj Digital Medicine, and NEJM AI, among other leading journals. He was named one of Poets & Quants 40 Under 40 World’s Best MBA Professors in 2021.
Yucheng Ding (“Product Safety and Liability with Deceptive Advertising and Moral Hazard”) is an associate professor in the Economics and Management School at Wuhan University, China. He received his PhD in economics from the University of Colorado Boulder. Professor Ding’s research expertise spans industrial organization, marketing, and operations management. He utilizes stylized models to examine how incomplete and asymmetric information impacts market participants and equilibrium outcomes. His current research interests include consumer search, competition and information dynamics in platforms, and the intersection of law and economics.
Ali Goli (“Personalizing Ad Load to Optimize Subscription and Ad Revenues: Product Strategies Constructed from Experiments on Pandora”) is an Assistant Professor of Marketing at the University of Washington’s Michael G. Foster School of Business. His research focuses on field experiments on two-sided platforms, marketing and public policy, advertising, and online education. He has studied the effects of tobacco marketing and counter-marketing efforts, personalization techniques and interference bias reduction on two-sided platforms, and strategies for improving user engagement and retention on online education platforms. Dr. Goli holds a PhD from the University of Chicago’s Booth School of Business.
Xu Guan (“Product Safety and Liability with Deceptive Advertising and Moral Hazard”) is a full professor in the School of Management at Huazhong University of Science and Technology. His publications have appeared in Information Systems Research, Production and Operations Management, and Journal of Retailing. His current research interests include operations and marketing interface and information design in platform economics. He is an associate editor of Service Science.
Anuj Kapoor (“Multiobjective Personalization of Marketing Interventions”) is an assistant professor of marketing at the University of Missouri. His research interests are in the economics of digitization, artificial intelligence, privacy, and digital platforms.
Ying Lei (“On the Profitability of Loyalty”) is a visiting assistant professor of marketing at New York University (NYU) Shanghai. She holds a PhD in economics from Boston University. Prior to joining NYU Shanghai, she was an assistant professor of marketing at Peking University Guanghua School of Management.
Krista J. Li (“Product Safety and Liability with Deceptive Advertising and Moral Hazard”) is Blanche “Peg” Philpott Professor and Associate Professor of Marketing at the Kelley School of Business at Indiana University. Her research contributes to theory and practice on how firms improve marketing strategies by leveraging consumers’ information and behavioral biases. Krista serves as an associate editor for Marketing Science, Journal of Marketing, and Decision Sciences Journal; a senior editor for Production and Operations Management; and a member of the editorial review board for Journal of Marketing Research. She was selected as a Marketing Science Institute Young Scholar in 2021 and a recipient of the inaugurate Marketing Science Service Award as an associate editor in 2023, and her paper was a finalist for the Best Marketing Paper Award in Management Science.
Xi Li (“Endogenous Costs, Market Competition, and Disclosure”) is a Professor of Marketing at the Faculty of Business and Economics, The University of Hong Kong. He holds a PhD in Management from the University of Toronto and a BE in Computer Science and Technology from Tsinghua University. His research focuses on data-driven marketing, pricing, and consumer protection.
Xiliang Lin (“Parallel Experimentation and Competitive Interference on Online Advertising Platforms”) is currently working as a data scientist at Google LLC. He holds a PhD degree in business from Booth School of Business, the University of Chicago, and a BS degree from Berea College.
Lan Luo (“Practice Prize Report: The 2024 Gary Lilien ISMS Practice Prize Competition”) is a professor of marketing at University of Southern California and a recipient of several prestigious research awards, including the John D. C. Little Award, the Donald R. Lehmann Award (twice), and a Paul E. Green Award finalist (twice). She serves as an Associate Editor for Marketing Science and VP of Practice for INFORMS Marketing Science community. She led the Amazon Studios Science team in 2021–2022 and currently is an Amazon Scholar to its Global Media Entertainment Business.
Robert Moakler (“Estimating the Value of Offsite Tracking Data to Advertisers: Evidence from Meta”) is a research scientist at Meta. His work focuses on projects related to privacy and causal inference. He received his PhD degree in information systems from the New York University (NYU) Stern School of Business in 2017. While at NYU, he worked at Integral Ad Science doing applied data science focusing on methods for causal inference using large-scale data.
Harikesh S. Nair (“Parallel Experimentation and Competitive Interference on Online Advertising Platforms”) is senior director of data science at Google. He leads a data science team powering ads measurement for Google’s ads including Search, Display, YouTube/TV, and developing next-generation measurement products that support the privacy-preserving future of digital advertising.
Z. Eddie Ning (“Targeted Advertising as Implicit Recommendation: Strategic Mistargeting and Personal Data Opt-out”) is an assistant professor of marketing and behavioral science at the Sauder School of Business, University of British Columbia. Previously, he was an assistant professor of marketing at the Cheung Kong Graduate School of Business. Before obtaining a PhD in business administration at Berkeley Haas, he worked in economic consulting and at the Federal Reserve Bank of San Francisco.
Omid Rafieian (“Multiobjective Personalization of Marketing Interventions”) is an assistant professor of marketing and a Demir Sabanci faculty fellow of marketing and management at the Johnson College of Business and Cornell Tech at Cornell University. His research interests broadly encompass topics related to digital marketing, mobile advertising, personalization, and privacy.
David H. Reiley (“Personalizing Ad Load to Optimize Subscription and Ad Revenues: Product Strategies Constructed from Experiments on Pandora”) is an economist in the advertising group at Pandora/Sirius XM, specializing in conducting field experiments in online auctions and advertising. Prior to Pandora, Reiley held positions at Google, Yahoo! Research, Vanderbilt University, and the University of Arizona. He is an adjunct professor at UC Berkeley, where he developed a course on field experiments for the master’s program in data science. Reiley serves as the president of the PGSS Alumni Association, working to resurrect the Pennsylvania Governor’s School for the Sciences. His research has explored the determinants of price in online auctions, the effects of reserve prices, and the impact of advertising on sales.
Navdeep S. Sahni (“Parallel Experimentation and Competitive Interference on Online Advertising Platforms”) is an associate professor of marketing at Stanford University’s Graduate School of Business. His research delves into consumer and seller behavior in digital marketplaces, utilizing a diverse array of methodologies such as econometric analysis and large-scale experimentation to draw data-driven insights.
Robert Evan Sanders (“Inventory Information Frictions Explain Price Rigidity in Perishable Groceries”) is a professor of marketing at UC San Diego’s Rady School of Management. He earned his PhD from the University of Chicago Booth School of Business in 2018. His research focuses on pricing, food waste, sustainability, and business economics and public policy. He was a Clayton Dissertation Proposal Competition winner (2017) and a finalist in the MSI 2018-2020 Research Priorities Competition and the Robert D. Buzzell MSI Best Paper Award (2021).
Bradley T. Shapiro (“Estimating the Value of Offsite Tracking Data to Advertisers: Evidence from Meta”) is a professor of marketing and True North faculty scholar at Chicago Booth. His expertise is in the economics of advertising and measuring advertising effectiveness. He earned a PhD degree in economics from Massachusetts Institute of Technology. Prior degrees include an MS degree in mathematics, a BS degree in mathematics, and a BA degree in economics, all from Virginia Tech.
Amitt Sharma (“Multiobjective Personalization of Marketing Interventions”) is the founder and chief executive officer of vdo.ai, which is a technology platform that connects advertisers and publishers in a digital ecosystem.
Ji Shen (“On the Profitability of Loyalty”) is an associate professor of finance at Guanghua School of Management, Peking University. He obtained a PhD in finance from the London School of Economics and Political Science.
Jiwoong Shin (“Targeted Advertising as Implicit Recommendation: Strategic Mistargeting and Personal Data Opt-out”) is a professor of marketing at Yale University. He received his PhD in management science from the Massachusetts Institute of Technology. He won the John D. C. Little Best Paper Award in 2010 and 2011, and was a finalist for the Long-term Impact Award in 2020. He serves as an associate editor for the Journal of Marketing Research, Management Science, Marketing Science, and Quantitative Marketing and Economics. He was named as a MSI Young Scholar in 2011 and an MSI Scholar in 2018.
Shubhranshu Singh (“Overdiagnosis and Undertesting for Infectious Diseases”) is an associate professor of marketing at the Carey Business School, Johns Hopkins University. He holds a PhD in business administration from the University of California, Berkeley. His research has appeared in the Journal of Marketing Research, Marketing Science, and Management Science. He was named a 2021 Marketing Science Institute Young Scholar.
Ioannis Stamatopoulos (“Inventory Information Frictions Explain Price Rigidity in Perishable Groceries”) is a professor of operations management at The University of Texas at Austin’s McCombs School of Business. Yannis holds a PhD in Operations Management from Northwestern’s Kellogg School of Management and a Master’s in Economics from the same institution, as well as a Bachelor’s in Mathematics from the University of Athens (Athens, Greece). His research interests include operations and technology, pricing, and public policy evaluation.
Anna Tuchman (“Estimating the Value of Offsite Tracking Data to Advertisers: Evidence from Meta”) is a professor of marketing at the Kellogg School of Management, Northwestern University. Her research interests include the study of advertising and its underlying mechanisms, as well as questions that lie at the intersection of public policy and marketing. She holds a PhD degree in marketing and an MA degree in economics from Stanford University; she completed her BA degree at the University of Pennsylvania. She worked in economic litigation consulting at Cornerstone Research.
Caio Waisman (“Parallel Experimentation and Competitive Interference on Online Advertising Platforms”) is an associate professor of marketing at the Kellogg School of Management, Northwestern University. He holds a PhD in economics from Stanford University. His research interests are in auctions, advertising, and experimentation.
Nils Wernerfelt (“Estimating the Value of Offsite Tracking Data to Advertisers: Evidence from Meta”) is an assistant professor of marketing at the Kellogg School of Management, Northwestern University. His research interests include online marketing, digital platforms, and analytics. Prior to joining Kellogg, he was a director on the Economics and Policy Research team at Meta; he holds a PhD degree in economics from Massachusetts Institute of Technology and a BA degree in mathematics from Harvard.
Jeremy Yang (“Engagement That Sells: Influencer Video Advertising on TikTok”) is an assistant professor of business administration in the Marketing Unit at Harvard Business School. His research focuses on understanding and solving managerial problems in the creator economy with machine learning and causal inference. He holds a PhD in management from the Massachusetts Institute of Technology.
Ei Yang (“On the Profitability of Loyalty”) is an assistant professor in the School of Finance, Shanghai University of Finance and Economics. He obtained his PhD in economics from Boston University. His research has been published in the Journal of Development Economics and Journal of Banking and Finance.
Jungju Yu (“Targeted Advertising as Implicit Recommendation: Strategic Mistargeting and Personal Data Opt-out”) is an assistant professor at the College of Business, Korea Advanced Institute of Science and Technology. He earned his PhD in marketing from the Yale School of Management. He applies game-theoretic analysis to problems on branding, targeted advertising, and consumer data privacy. He was selected among the 2023 Marketing Science Institute Young Scholars and currently serves as an editorial board member of Marketing Science.
Xin Zhai (“On the Profitability of Loyalty”) is an associate professor in the Department of Management Science and Information Systems at the Guanghua School of Management. She possesses a PhD in operations management obtained from the School of Business, Purdue University.
Juanjuan Zhang (“Engagement That Sells: Influencer Video Advertising on TikTok”) is the John D. C. Little Professor of Marketing at the Massachusetts Institute of Technology Sloan School of Management. Her current research combines economic theory with computation to build scalable business solutions. Her papers have received the Frank M. Bass Award, the Gary L. Lilien Practice Prize, the John D. C. Little Award, and the Long Term Impact Award. She holds a PhD from the University of California, Berkeley.
Yuhan Zhang (“Engagement That Sells: Influencer Video Advertising on TikTok”) is an associate professor of marketing at the Harbin Institute of Technology School of Management. Her research covers industries such as social media and retailing, with a particular interest in explaining and addressing marketing issues in new media. She holds a PhD in marketing from Tsinghua University.
Hongkai Zhang (“Personalizing Ad Load to Optimize Subscription and Ad Revenues: Product Strategies Constructed from Experiments on Pandora”) is a Data Scientist at Curated. Previously, he was a Scientist at Pandora, where he worked on projects related to ad effectiveness measurement, marketing optimization, and user experience enhancement. His research has explored topics such as the process of managerial price setting and the micro-foundation of pricing inertia in online markets. Dr. Zhang holds a PhD and Bachelor’s degree in Economics from the Massachusetts Institute of Technology.
