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Thomas Magnanti is an Institute Professor at the MIT Sloan School of Management. His research primarily focuses on large-scale optimization systems, including communication systems, production planning and scheduling, transportation planning, facility location, and logistics network design. Magnanti is well known for his contributions to the field, co-authoring significant textbooks such as 'Applied Mathematical Programming' (Addison-Wesley, 1977) and 'Network Flows: Theory, Algorithms, Applications' (Prentice Hall, 1993). He holds a Bachelor's degree in Chemical Engineering from Syracuse University, as well as Master’s degrees in Statistics and Mathematics, and a PhD in Operations Research from Stanford University. In recognition of his work, he received the 2016 Harold W. Kuhn Award for his paper titled 'Maintenance Scheduling of Modular Systems: Modeling Algorithms,' co-authored with prominent colleagues. His passion for education is evident through his teaching and mentoring, contributing to the training of future leaders in business.
MIT Sloan School of Management • Cambridge, MA
Conducting research and teaching in the field of Operations Research.