Dr. Mauricio G. C. Resende did his undergraduate training in Electrical Engineering (Systems Engineering concentration) at the Pontifical Catholic University of Rio de Janeiro.  His graduate work was in the field of Operations Research, earning an MS degree from the Georgia Institute of Technology and a PhD degree from the University of California Berkeley.  Dr. Resende is most known for his work with metaheuristics, in particular Greedy Random Adaptive Search Procedures (GRASP), path-relinking, and biased random-key genetic algorithms, as well as for his work with interior point methods for linear programming and network flows.  He has published over 200 refereed papers and holds 15 U.S. patents.  He has edited four handbooks, including the Handbook of Heuristics, the Handbook of Applied Optimization, and the Handbook of Optimization in Telecommunications, and is coauthor of the book Optimization by GRASP.

Dr. Resende was employed at Amazon Research from 2014 through 2022 as a Principal Research Scientist in the Logistics Department.  Prior to that, from 1988 through 2014,

Dr. Resende was a Lead Inventive Scientist AT&T Bell Labs / AT&T Labs Research (in both the Mathematical Foundations of Computing Department the Algorithms and Optimization Research Department)

Since 2016, Dr. Resende has been an Affiliate Professor of Industrial and Systems Engineering at the University of Washington and a Permanent Member of the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) at Rutgers University.  Dr. Resende is a 2016 Fellow of INFORMS and was awarded the 2017 Constantine Caratheodory Prize, presented by the International Society of Global Optimization.