Education:

B.S. Mathematics, B.A. Spanish and Hispanic Studies Creighton University (2011);
Master of Education – Creighton University (2013);
MBA in Supply Chain & Analytics – University of Iowa (2015);
PhD in Business Analytics – University of Iowa (2020)

Research Interests: ^top

Transportation Reliability; Supply Chain Resiliency; Stochastic Networks; Multi-modal Travel

Responsibilities: ^top

Research Fellow with Professor Mark Daskin and Ford Motors

Biography: ^top

Michael Redmond recently graduated in Summer 2020 from the University of Iowa with a Ph.D. in Business Analytics with a focus on transportation analytics and stochastic programming. He is an active member in the Transportation Science and Logistics Society of INFORMS and served as the INFORMS student president at Iowa. Prior to his PhD, Michael worked with companies and nonprofits, including the Chicago Bears, UI Office of Sustainability & Integrated DNA Technologies, on consulting projects during his time in the Supply Chain & Analytics MBA program. He has been involved in education for the past decade and thoroughly enjoys teaching – before diving into academia, he was a K-8 Math and Spanish teacher in Omaha. Michael is beginning post-doctoral research with Dr. Mark Daskin and Ford on developing a stochastic programming model for supply chain and demand uncertainty.

Awards: ^top

2018 INFORMS Transportation Science and Logistics Society Doctoral Travel Grant Recipient; University of Iowa INFORMS Student Chapter President

Publications: ^top

Redmond, M., Campbell, A. M., & Ehmke, J. F. (2019). The most reliable flight itinerary problem. Networks, 73(3), 325-343.

Redmond, M., Campbell, A. M., & Ehmke, J. F. (2020). Data-driven planning of reliable itineraries in multi-modal transit networks. Public Transport, 12(1), 171-205.

Redmond, M. A. (2020). Reliable itinerary planning in transportation networks (Doctoral dissertation, University of Iowa).