Faculty & Research

Thomas Magnanti is an Institute Professor and a Professor of Operations Research at the MIT Sloan School of Management.

Magnanti is an excellent source on teaching and researching the theory and application of large-scale optimization systems, including communications systems, production planning and scheduling, transportation planning, facility location, logistics, and network design. He is the co-author of two textbooks, Applied Mathematical Programming (Addison-Wesley, 1977) and Network Flows: Theory, Algorithms, and Applications (Prentice Hall, 1993).

Magnanti holds a BS in chemical engineering from Syracuse University as well as an MS in statistics, an MS in mathematics, and a PhD in operations research from Stanford University.

Thomas Magnanti is an Institute Professor and a Professor of Operations Research at the MIT Sloan School of Management.

Magnanti is an excellent source on teaching and researching the theory and application of large-scale optimization systems, including communications systems, production planning and scheduling, transportation planning, facility location, logistics, and network design. He is the co-author of two textbooks, Applied Mathematical Programming (Addison-Wesley, 1977) and Network Flows: Theory, Algorithms, and Applications (Prentice Hall, 1993).

Magnanti holds a BS in chemical engineering from Syracuse University as well as an MS in statistics, an MS in mathematics, and a PhD in operations research from Stanford University.