Data Analytics


Data analytics is a way to use data and facts to help address engineering, scientific, and business challenges. The focus is on making the best use of advanced computational and data processing tools in order to inform decision-making. A variety of technical challenges and opportunities have arisen with the emergence of ‘big data’: large volumes of unstructured data in the form of text, images, videos, etc.

The operations research group’s expertise covers theoretical, computational, and applied research in data analytics. We develop methodologies and best practices for data-driven decision-making, motivated by a broad set of real-world problems.  All forms of analytics are considered: descriptive, predictive, and prescriptive.



Interpretable Statistical Learning
  • Convex and nonconvex penalties for feature selection
Machine Learning
  • Large-scale algorithms
Prescriptive Analytics and Data-Driven Decision Making



Cyber Security
Energy Systems
Genome Association Studies
Transportation and Mobility


Concentration Faculty