Eli Towle, PhD
Senior Optimization Engineer at Gurobi Optimization
Madison, WI
LinkedIn | GitHub | Google Scholar | CV
Email: towle [at] gurobi [dot] com
EDUCATION
PhD, Industrial and Systems Engineering, University of Wisconsin - Madison, 2019
Advised by Jim Luedtke
Dissertation: Formulations and valid inequalities for network interdiction problems and reverse convex sets (pdf)
MS, Computer Sciences, University of Wisconsin - Madison, 2018
BA, Mathematics, University of Wisconsin - Stevens Point, 2014
JOURNAL PAPERS
Eli Towle and James Luedtke (2022). Intersection disjunctions for reverse convex sets. Mathematics of Operations Research, 47(1), 297-319.
Kaiyue Zheng, Laura Albert, James Luedtke, and Eli Towle (2019). A budgeted maximum multiple coverage model for cybersecurity planning and management. IISE Transactions, 51(12), 1303-1317.
Eli Towle and James Luedtke (2018). New solution approaches for the maximum-reliability stochastic network interdiction problem. Computational Management Science, 15(3), 455-477.
IN PROGRESS
Eli Towle and James Luedtke. Valid inequalities and disjunctions for reverse convex sets from non-pointed polyhedral relaxations. In progress, 2022.
PROFESSIONAL SERVICE
Journal referee: Mathematical Programming, Conference on Integer Programming and Combinatorial Optimization, European Journal of Operational Research, Optimization Letters.
Session chair:
INFORMS Annual Meeting, Phoenix, AZ, 2018. "Theory of integer and nonconvex optimization."
23rd International Symposium on Mathematical Programming, Bordeaux, France, 2018. "Intersection cuts, disjunctions, and valid inequalities."
President of UW-Madison Institute for Operations Research and the Management Sciences student chapter, 2017-2018.