Mauricio G. C. Resende grew up in Rio de Janeiro (BR), West Lafayette (IN-US), and Amherst (MA-US). He did his undergraduate work in electrical engineering (systems engineering concentration) at the Pontifical Catholic U. of Rio de Janeiro. He obtained an MS in operations research from Georgia Tech and a PhD in operations research from the U. of California, Berkeley. He is most known for his work with metaheuristics, in particular GRASP and biased random-key genetic algorithms, as well as for his work with interior point methods for linear programming and network flows. Mauricio has published over 200 papers on combinatorial optimization and holds 15 U.S. patents. He has edited six handbooks, including the Handbook of Heuristics, the Handbook of Applied Optimization, and the Handbook of Optimization in Telecommunications, and is coauthor (with Celso Ribeiro) of the 2016 book “Optimization by GRASP.” He sits on the editorial boards of several optimization journals, including Networks, J. of Global Optimization, R.A.I.R.O., and International Transactions in Operational Research.
Prior to joining Amazon.com in December 2014 as a Principal Research Scientist in the transportation area, Mauricio was a Lead Inventive Scientist at the Mathematical Foundations of Computing Department of AT&T Bell Labs and at the Algorithms and Optimization Research Department of AT&T Labs Research in New Jersey.