Pankhuri is a computational social scientist with an interest in graph-based methods for improving and scaling marketing research. Her research on social networks has been published in outlets such as Journal of Marketing and AAAI. Her working papers are currently under review at quant marketing journals such as Marketing Science. Majority of her current research applies combined methods from marketing, network and data science for mining user perception of brands using publicly available social media datasets. She is also working with influencer datasets on Twitter and Instagram to understand social activism and build network-based recommender systems. Her 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.

Google Scholar LinkClick here

Contact – pmal @ ou dot edu

Education and Employment

  • Assistant Professor, Michael F. Price College of Business, University of Oklahoma, 2021 – Present
  • Postdoctoral Scholar in Quantitative Marketing, Northwestern University, 2021
  • PhD in Information Systems, University of Illinois at Chicago – 2020
  • Msc in Business Analytics, University of Manchester – 2015
  • Bsc Physics Honors, Miranda House – 2013