Jon Lee smiles and poses for a portrait.

Jon Lee

G. Lawton and Louise G. Johnson Professor of Engineering


1831 IOE


Professor Lee has been Chair of the INFORMS Optimization Society, and has been Editor-in-Chief of the journal Mathematical Programming, Series A.


  • Ph.D., Cornell University, 1986, Operations Research

Research Interests

Professor Lee works broadly in Mathematical Optimization.

Research areas:
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Professional Service

  • Institute for Operations Research and the Management Sciences (INFORMS)
  • Mathematical Optimization Society


  • INFORMS Fellow since 2013
  • INFORMS Computing Society Prize (2010)


  • Jon Lee, “A First Course in Combinatorial Optimization”, Cambridge University Press, February 2004.
  • Jon Lee, “A First Course in Linear Optimization”, Fourth Edition, Version 4.07 (, Reex Press, 2013-22)
  • Marcia Fampa, Jon Lee. “Maximum-Entropy Sampling: Algorithms and Application”. Springer Series in Operations Research and Financial Engineering. October 2022.
  • Jon Lee, Sven Leyffer, Editors. “Mixed Integer Nonlinear Programming”. The IMA Volumes in Mathematics and its Applications, Vol. 154. 1st Edition., 2012, X, 660 p. 1 illus. Hardback, ISBN 978-1-4614-1926-6.
  • Luze Xu, Marcia Fampa, Jon Lee, Gabriel Ponte. Approximate 1-norm minimization and minimum-rank structured sparsity for various generalized inverses via local search. SIAM Journal on Optimization, 31(3):1722-1747, 2021.
  • Luze Xu, Jon Lee. Gaining or losing perspective for convex multivariate functions on a simplex. Journal of Global Optimization, 89:379-314, 2024.
  • Jon Lee, Joseph Paat, Ingo Stallknecht, Luze Xu. Polynomial upper bounds on the number of differing columns Δ-modular integer programs. Mathematics of Operations Research, 48(4):2267–2286, 2023.