Focus on Authors
Uttara Ananthakrishnan (“I Hear You: Does Quality Improve with Customer Voice?”) is an assistant professor of information systems at the University of Washington, Foster School of Business. Her research is at the intersection of technology, business, and policy. She leverages large-scale data, machine learning, and artificial intelligence to study the impact of technology on firms and society.
Alex Burnap (“Product Aesthetic Design: A Machine Learning Augmentation”) is an assistant professor of marketing at Yale School of Management. His research and teaching are in product management and new product design, with a research focus on machine learning methods to augment how product designers and product managers work. He has worked for or consulted with both startups and enterprise firms in product roles and holds a PhD in design science from Michigan and a BS in physics from Illinois.
Daria Dzyabura (“Leveraging the Power of Images in Managing Product Return Rates”) is a professor of marketing at the New Economic School and Skolkovo School of Management in Moscow. She serves as an associate editor for Marketing Science, Management Science, and Quantitative Marketing and Economics. Daria studies and teaches courses on the applications of machine learning methods in product development, branding, and retailing. She holds an SB in mathematics and a PhD in management science from the Massachusetts Institute of Technology.
John R. Hauser (“Product Aesthetic Design: A Machine Learning Augmentation”; “Leveraging the Power of Images in Managing Product Return Rates”) is the Kirin Professor of Marketing at MIT Management School. He has co-authored textbooks on product development, is a former editor of Marketing Science, a founder of Applied Marketing Science, Inc., a former trustee of the Marketing Science Institute, a fellow of INFORMS and ISMS, and a past president of ISMS. He has won the Converse, Parlin, Buck Weaver, and Churchill Awards.
Sylvia Hristakeva (“Price Dispersion and Legacy Discounts in the National Television Advertising Market”) is an assistant professor of marketing at UCLA Anderson School of Management. She received a PhD in Economics from Boston College and a BA from Trinity College. Her research interests are quantitative marketing and empirical industrial organization. She analyzes settings when contracts between firms are unobserved. Her work has been published in top journals, including the Journal of Political Economy and Marketing Science.
Marat Ibragimov (“Leveraging the Power of Images in Managing Product Return Rates”) is an assistant professor of marketing at Goizueta Business School, Emory University. Marat holds a PhD in management from the Massachusetts Institute of Technology Sloan School of Management, an MA in economics from the New Economic School, and a BA and MS in applied physics and mathematics from the Moscow Institute of Physics and Technology. Marat’s research focuses on product returns management, customer search, and personalized promotions.
T. Tony Ke (“A Model of Product Portfolio Design: Guiding Consumer Search Through Brand Positioning”) is an associate professor of marketing at the Chinese University of Hong Kong Business School. He completed postgraduate studies in operations research, statistics, and economics at the University of California, Berkeley. He researches consumer search and digital economy.
Siham El Kihal (“Leveraging the Power of Images in Managing Product Return Rates”) is an assistant professor of marketing at the Frankfurt School of Finance & Management. Siham holds an MS in electrical engineering with business administration from the Technical University of Darmstadt, an MS in engineering from the Ecole Centrale de Lyon, an MS in quantitative economics and a PhD in marketing from the Goethe University Frankfurt. Siham is interested in exploring digital markets using a multimethod approach that combines both structured and unstructured data.
Lan Luo (“Look the Part? The Role of Profile Pictures in Online Labor Markets”) is professor of marketing at University of Southern California. She serves as an associate editor for Marketing Science and the vice president of practice for INFORMS Marketing Science (ISMS) community. Lan currently serves an Amazon Scholar to Amazon's Global Media Entertainment Business. She has received several prestigious research awards, including the John D.C. Little Award, Donald R. Lehmann Award (twice), and Paul E. Green Award finalists (twice).
Sridhar Moorthy (“Targeting Advertising Spending and Price on the Hotelling Line”) is a professor of marketing at the University of Toronto, where he holds the Manny Rotman Chair at Rotman School of Management. He received his Ph.D. from Stanford University and has taught previously at Rochester and Yale. His current research focuses on branding, advertising, and retailing, from both empirical and theoretical perspectives. He is an associate editor of Management Science and a past area editor of this journal.
Julie Holland Mortimer (“Price Dispersion and Legacy Discounts in the National Television Advertising Market”) is the Kenneth G. Elzinga Professor in Economics and the Law at the University of Virginia. She received a PhD from UCLA and BA from Carleton College. She is a research associate of the NBER and a coeditor at the Journal of Law and Economics. Her work examines antitrust and legal issues, including vertical arrangements, diversion ratios, and copyright infringement, and it has been published in top journals.
Davide Proserpio (“I Hear You: Does Quality Improve with Customer Voice?”) is the Kenneth King Stonier Assistant Professor of Business Administration at the University of Southern California. In his research, he seeks to measure and quantify the impact of digital platforms on industries and markets, and most of his work focuses on the empirical analysis of a variety of companies including Airbnb, TripAdvisor, and Amazon.
Siddhartha Sharma (“I Hear You: Does Quality Improve with Customer Voice?”) is an assistant professor of operations and decision technologies at the Kelley School of Business. He graduated with an MS in quantitative economics from the Indian Statistical Institute and a PhD in information systems and management from Carnegie Mellon University in 2020. His research focuses on studying strategies and implications of digital platforms using analytical models, econometrics, and machine learning.
Jiwoong Shin (“A Model of Product Portfolio Design: Guiding Consumer Search Through Brand Positioning”) is a professor of marketing at Yale University. He received his PhD from the Massachusetts Institute of Technology. His research focuses on analytical modeling of strategic interactions between firms and consumers. His papers have appeared in Journal of Marketing Research, Management Science, Marketing Science, and RAND Journal of Economics. He serves as an associate editor for Journal of Marketing Research, Marketing Science, and Operations Research. He is a recipient of the John D. C. Little Best Paper Award for two years in a row.
Shervin Shahrokhi Tehrani (“Targeting Advertising Spending and Price on the Hotelling Line”) is an assistant professor in marketing at the University of Texas at Dallas. He holds a PhD in mathematics and marketing from the University of Toronto. His research areas include theoretical and empirical methods. His current research focuses on consumers' search behavior under social influence, political advertising, the causal impact of service failure in online platforms, and the conflict of interest issue in the health industry.
Artem Timoshenko (“Product Aesthetic Design: A Machine Learning Augmentation”) is an assistant professor of marketing at the Kellogg School of Management, Northwestern University. His research develops applications of machine learning to marketing analytics and product development, with a primary focus on retail, financial services, and technology industries. He holds a PhD in marketing from MIT Sloan School of Management, an MA in economics from New Economic School, and a diploma in applied mathematics and computer science from Moscow State University.
Isamar Troncoso (“Look the Part? The Role of Profile Pictures in Online Labor Markets”) is an assistant professor of business administration in the Marketing Unit at Harvard Business School. Her research focuses on online marketplaces, digital platforms, and artificial intelligence applications in marketing.
Jungju Yu (“A Model of Product Portfolio Design: Guiding Consumer Search Through Brand Positioning”) is an assistant professor at the College of Business, Korea Advanced Institute of Science and Technology. He earned his PhD in marketing from Yale School of Management. His primary research topics include digital marketing and branding. His research has appeared in top journals in the field, such as Marketing Science, Management Science, and RAND Journal of Economics. Currently, he serves as an editorial board member of Marketing Science.
