Shawndra Hill, Ph.D.

Assistant Professor of Operations and Informations Management

Research Interests: “social tv”, data mining/knowledge discovery in databases, design science and information systems, dynamic networks, machine learning, network-based marketing, statistical relational learning.

Bio: Shawndra Hill is an Assistant Professor in Operations and Information Management at the Wharton School of the University of Pennsylvania. Generally, she studies data mining, machine learning and statistical relational learning and their alignment with business problems. Specifically, she researches the value to companies of mining data on how consumers interact with each other for targeted marketing, advertising and fraud detection. Here current research focuses on the interactions between TV content and Social Media (

Her past and present industry partners include AT&T Labs Research, Mass Relevance, and Siemens Energy & Automation. Her work appears in IEEE Transactions on Data and Knowledge Engineering, Journal of Computational and Graphical Statistics, SIGKDD Explorations, and Statistical Science. Her research is funded, in part, by the Office of Naval Research, Google, and the National Institutes of Health (NIH). Shawndra holds a B.S. in Mathematics from Spelman College, a B.E.E. from the Georgia Institute of Technology and a Ph.D. in Information Systems from  NYU’s Stern School of Business.