Dr. Gonzalo Muñoz

Gonzalo Muñoz is an Applied Mathematics major from the University of Chile. He obtained his Ph.D. degree in 2017 from the Industrial Engineering and Operations Research Department at Columbia University. He currently holds an IVADO Fellowship at Polytechnique Montréal.

Gonzalo’s research interests fit into the category of Non-Linear Mixed-Integer Optimization, including both theoretical perspectives and implementation of efficient algorithms to address this type of problems. His Ph.D. dissertation focused on efficient LP approximations to sparse polynomial problems, motivated by Power Grid operations problems. He has also worked in optimization methodologies for Open-pit Mine scheduling problems. Gonzalo was the “Best Student Poster” award in the MIP workshops of 2015 and 2017, and the 2016 “Best Student Paper” prize by the Informs Optimization Society. Most recently, he has been studying computational methods for non-convex optimization problems arising in statistics.