"Descrete Optimization Problems under Ranking-Based Choice Models"
Alice Paul, Brown University
Monday, February 12, 2018 at 4:00 P.M.
Room 506 (CIT 5th Floor)
This talk will focus on developing simple models and algorithms for discrete optimization problems in revenue management. Understanding customer purchase behavior is essential for retailers to offer the best products and maximize their revenue. However, there is a trade-off between the complexity of how they model customer behavior and the associated optimization problems. In my talk, I will explore some practical scenarios where we can develop both simple models and algorithms that perform well. At the end, I will also briefly go over some of my other research projects.
Alice Paul is a Postdoc in the Data Science Initiative at Brown University. She received her PhD in Operations Research from Cornell University, advised by Professor David Williamson, and received her BS in Mathematics from Harvey Mudd College. Her research focuses on the design and analysis of algorithms for optimization problems underlying revenue management, bike‐share systems, machine learning, and other applications.
Host: Professor Kathi Fisler