Shawn Mankad

Shawn Mankad

  • Assistant Professor

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Faculty Expertise

  • Business Analytics
  • Information Systems
  • Machine Learning
  • Management Information Systems
  • Quantitative Modeling
  • Applied Statistics


Samuel Curtis Johnson Graduate School of Management


Cornell Directory Entry


Professor Shawn Mankad is an assistant professor of operations, technology, and information management at the Johnson Graduate School of Management, where his research focuses on the intersection between data analytics and economic decision making using machine learning techniques. His studies aim to create and apply data mining, machine learning, and visualization techniques for economic modeling with unstructured and complex structured data. His research has been featured in journals and over a dozen media outlets, including the Wall Street Journal and the Chicago Tribune. Prior to joining Johnson in 2015, Professor Mankad was an assistant professor in the Robert H. Smith School of Business at the University of Maryland. He was a consultant with the U.S. Commodity Futures Trading Commission and also worked at the Federal Reserve Board on characterizing market activity with visual analytic tools. His undergraduate degree is from Carnegie Mellon University, and he received his PhD in statistics from the University of Michigan.

Recent Courses

  • NBA 6550/NBAY 6550 - Business Data Analysis with SQL
  • NBA 6480 - Digital Technology Practicum
  • NMI 5000 - Directed Reading & Research
  • NBA 6920 - Machine Learning Applications in Business

Academic Degrees

  • PhD University of Michigan, 2013
  • MA University of Michigan, 2012
  • BS Carnegie Mellon University, 2008