Mathieu Dahan is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering. His research interests are in combinatorial optimization, game theory, and predictive analytics, with applications to service operations management and disaster logistics. His primary focus is on developing strategies for improving the resilience of large-scale systems in the face of correlated failures such as security attacks and natural disasters. Current projects include:
- Strategic coordination of heterogeneous resources for network inspection.
- Analytics-based response operations under uncertainty.
- Data-driven humanitarian supply chain optimization
- COVID-19 testing supply chain resilience.
- Prescriptive analytics for real-time ambulance routing and relocation.
- Time-sensitive service network optimization.
- Resilient parcel delivery network design.
Dr. Dahan received a Ph.D. and M.S. in Computational Science and Engineering from the Massachusetts Institute of Technology, a M.S. and B.S. from the École Centrale Paris, and a B.S. in Mathematics from Paris-Sud University. His Thesis committee members included Professors Saurabh Amin, Ali Jadbabaie, Patrick Jaillet, and Georgia Perakis.
During the summer of 2016, he worked as a research scientist intern at Amazon.com (Seattle) in the Supply Chain Optimization Technologies team. Using Machine-Learning techniques, he worked on predicting the fulfillment cost and developing a prototype to grant a fast and accurate access to future shipping cost estimates.