Michelle Xiao Wu is a Co-Director in the Data Science Lab at MIT Institute for Data, Systems, and Society (IDSS). Before joining IDSS, she was an Assistant Professor at Carson College of Business, Washington State University. She received her Ph.D. (major in operations management, minor in economics) and MBA from the University of Chicago Booth School of Business and an M.Sc degree in Physics from Northwestern University.
Her research interests focus on operations management in the digital economy, including pricing for e-commerce platforms, digital content release, and the sharing economy. Her other research interests include machine learning, the operations-finance interface, and supply chain management. Her papers are published in leading journals such as Management Science, M&SOM, JMIS, and IJPR.
In her consulting experience with various companies, she provides implementable methods and strategies to optimize operational decisions, in manufacturing, e-commerce, and brick & mortar retail.
| Name of Speaker | Michelle Wu |
| Date | 10 August 2023, 10am – 11.30am |
| Venue | BIZ1-0206 |
| Registration Link | https://nus-sg.zoom.us/meeting/register/tZAlcuqgpz4iEtYiqIsqyAVij6uSyYM-4GWH |
| Title | Empowering Businesses with Data, Analytics, and Automation |
| Abstract | We present our work with a global online fashion retailer, Zalando, as an example of how a global retailer can utilize massive amount of data to optimize price discount decisions over a large number of products in multiple countries on a weekly basis. |
