Professor Michel Wedel
Michel Wedel is the Pepsico Chaired Professor of Consumer Science at the Robert H. Smith School of Business and a Distinguished University Professor at the University of Maryland, College Park. He holds an MS.C. in Biomathematics and an MS.C. in Statistics; he holds a Ph.D. in Marketing from Wageningen University.
Michel has taught a wide variety of courses for BBA, MBA and Ph.D. students on marketing research, marketing analysis and marketing decision making. He is a 12-time winner of the Teaching Excellence award at the Robert H. Smith school of Business, a winner of the Crowe teaching award and was named a University of Maryland Distinguished Scholar-Teacher.
Michel specializes in the development and application of statistical and econometric methods for research in marketing. Some of his more recent work addresses visual marketing using eye-tracking technology. He has written books on market segmentation and visual marketing.
Michel was ranked the most productive economist in the Netherlands and the most productive market researcher in the world. He received the Hendrik Muller Award for outstanding contributions to the social sciences from the Royal Dutch Academy of the Sciences. He received the Charles Coolidge Parlin award for outstanding contributions to the field of marketing research, the Churchill Award for lifetime contributions to the study of marketing research, and the Irwin-McGraw Hill distinguished Marketing Educator Award from the American Marketing Association, and the Buck Weaver award from INFORMS. He is a fellow of the American Statistical Association, the American Marketing Association, and the Institute for Operations Research and Management Science. The University of Maryland has named him a Distinguished University Professor.
Professor Oded Netzer
Professor Netzer's expertise centers on one of the major business challenges of the data-rich environment: developing quantitative methods that leverage data to gain a deeper understanding of customer behavior and guide firms' decisions. He focuses primarily on building statistical and econometric models to measure consumer preferences and understand how customer choices change over time, and across contexts. Most notably, he has developed a framework for managing firms' customer bases through dynamic segmentation. More recently, his research focuses on leveraging text-mining techniques for business applications.
Professor Netzer published numerous papers in the leading scholarly journals. His research won multiple awards including, ISMS Long-term Contribution Award, the John Little Best Paper Award, the Frank Bass Outstanding Dissertation Award, the Society for Consumer Psychology (SCP) Best Paper Award, and the George S. Eccles Research Fund Award. He serves on the editorial board of several leading journals.
Oded teaches several courses including the Core Marketing course, a course on Developing Quantitative Intuition (QI), a masters and doctoral course on Empirical Models in Marketing, as well as several executive education programs. Professor Netzer has won the Columbia Business School Dean’s Award for Teaching Excellence, and the Columbia University GSAC Faculty Mentoring Award to commemorate excellence in the mentoring of Ph.D. students.
Professor Netzer frequently consult to Fortune 500 companies and entrepreneurial organization on strategy, data-driven decision making, marketing strategy and extracting useful information from rich and thin data. He is also collaborating with Amazon’s Analytics and Insight group as an Amazon Scholar.