Jennifer Cutler is an associate professor of business and computer science (by courtesy). Her research focuses on extracting consumer and marketing insights from social media.  Her work, which blends advances in quantitative marketing, social psychology, and artificial intelligence, has received awards from the Association for the Advancement of Artificial Intelligence, the National Business and Economics Society, and the Max Planck Institute for Human Development. She received her Ph.D. in Business Administration from Duke University, and her Sc.B. in Cognitive and Linguistic Sciences from Brown University, with a focus on natural language processing. Prior to becoming a professor, she designed speech recognition and natural language processing tools at Microsoft.

Professor Cutler has taught "Digital Marketing Analytics" and "Critical Thinking for Digital and Social Media Markeing" in the MBA program at Kellogg, "Special Topics in Quantitative Marketing" in the PhD program, and has taught a range of other courses through Kellogg's executive education program, the Illinois Institute of Technology, and corporate programs.

Developing and applying social media analytics techniques to: improve & scale marketing research measurement, understand online influence & persuasion, and promote corporate social responsibility

• Ph.D., Business Administration (Marketing), Duke University
• Sc.B., Cognitive and Linguistic Sciences (Natural Language Processing), Brown University

• Assistant Professor of Marketing, Kellogg School of Management, Northwestern University, 2016-present
• Visiting Assistant Professor of Marketing, Kellogg School of Management, Northwestern University, 2015-2016
• Assistant Professor of Marketing, Stuart School of Business, Illinois Institute of Technology, 2013-2016

• Microsoft, 2000-2008

• Richard M. Clewett Research Chair Award
• Grant Award: "Quantifying Multifaceted Perceptual Dynamics in Online Social Networks", National Science Foundation
• Outstanding Paper Award, Association for the Advancement of Artificial Intelligence (AAAI)
• Most Innovative Paper Award, National Business and Economics Society
• Grant Award: "Tracking Perception Dynamics in Online Social Networks", Educational and Research Initiative Fund
• Visiting Scholar Funding, Max Planck Institute for Human Development, Center for Adaptive Behavior and Cognition

Topics in Quantitative Marketing (MKTG-552-0)
This seminar required of 2nd-4th year students exposes students to working papers in current areas of active research. Students read, present, and discuss recent papers with the goal of improving their ability to evaluate a paper's academic contribution and managerial relevance and to further extend their knowledge of models and methods.

Critical Thinking in Digital and Social Media Marketing (MKTG-479-0)
Marketing in the modern digital landscape involves a number of challenges as platforms, technology, competitive landscapes, data availability, and analytics techniques evolve rapidly. This class prepares students to be effective marketing leaders in landscapes that involve digital and social media initiatives and equips them to make strategic decisions in rapidly evolving and data-rich environments. Students will gain a working knowledge of the digital marketing landscape, learn to critically assess strategic digital and social media plans, and evaluate a range of approaches and techniques for measurement of digital and social media data. Core Marketing 430 is a pre-requisite unless otherwise approved by the Professor.