Dr. Mauricio G. C. Resende did his undergraduate training in electrical engineering (systems engineering concentration) at the Pontifical Catholic U. of Rio de Janeiro.  His graduate work was in operation research, earning an MSc from Georgia Tech and a PhD from UC Berkeley.  Dr. Resende is most known for his work with metaheuristics, in particular 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.  Prior to joining Amazon Research in 2014, where he worked until 2022 as a Principal Research Scientist in the logistics area, Dr. Resende 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 from 1988 to 2014. Since 2016, he is an Affiliate Professor of Industrial and Systems Engineering at the University of Washington in Seattle 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.