Assistant Professor of Marketing, University of Oklahoma
I am a computational social scientist with an interest in exploring large-scale data intensive methods for improving and scaling marketing research. Majority of my current research applies combined methods from marketing, network and data science for mining user perception of brands using publicly available social media data. I am also working with influencer datasets on Twitter and Instagram to understand social activism and build network-based recommender systems. My academic training includes a range of research methods, including data analytics, network analyses, econometrics, survey-based methods, machine learning, text analytics, deep learning, and causal inference.
Customers like diversity from brands − but can smell hypocrisy a mile away
Sep 25, 2024 12:39 pm UTC| Insights & Views Business
Companies are increasingly highlighting their support for diversity, but that can backfire if consumers sense tokenism, a recent analysis from my team found. Im an assistant professor of marketing who specializes in...