About

Jacob M. Aguirre is an Operations Research Ph.D. student in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Prior to joining ISyE, he was a B.S./M.S. student in economics and mathematics.

Aguirre’s research focuses on continuous optimization, including the design, complexity analysis, and implementation of algorithms for large-scale optimization problems. His interests include linear and convex quadratic programming, semidefinite programming, variational inequalities, and general nonlinear programming. More recently, his research interests have expanded to semidefinite and doubly nonnegative relaxations of combinatorial and polynomial optimization problems.

His work connects theoretical guarantees with computational methods and software. He has contributed to the development of cuHALLaR, a GPU-accelerated solver for large-scale semidefinite programming. His current research includes optimization theory and methods for large-scale linear and conic programming with Renato D.C. Monteiro; classical operations research and logistics, including traffic assignment, with Anton J. Kleywegt; and the iteration complexity of convex optimization algorithms with Dmitrii Ostrovskii.

Aguirre’s research has been supported by fellowships and awards through the National Science Foundation Graduate Research Fellowship Program, the U.S. Department of Energy, Oak Ridge National Laboratory, the GEM Ph.D. Fellowship program, The Coca-Cola Company, Ernst & Young, and the Georgia Institute of Technology. His honors include the Jessie and Ralph W. Pries Fellowship, Stewart Fellowships, and the Presidential Fellowship.