Mauricio G. C. Resende is a Principal Research Scientist at Amazon Science and an Affiliate Professor of Industrial and Systems Engineering at the University of Washington.  He grew up in Rio de Janeiro (BR), West Lafayette (IN-US), and Amherst (MA-US). He did his undergraduate training 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.  Dr. Resende has published over 200 papers on optimization and holds 15 U.S. patents.  He has edited the Handbook of Heuristics (Springer, 2018), the Handbook of Optimization in Telecommunications (Springer, 2006), the Handbook of Massive Data Sets (Kluwer, 2002), and the Handbook of Applied Optimization (Oxford, 2002), and is coauthor of the book Optimization by GRASP (Springer, 2016). He has a Google Scholar h-index of 80.  He sits on the editorial boards of several optimization journals, including Networks, Discrete Optimization, J. of Global Optimization, R.A.I.R.O., and International Transactions in Operational Research. Dr. Resende is an INFORMS Fellow. Prior to joining Amazon in 2014 as a Principal Research Scientist in the Modeling and Optimization group, 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 in New Jersey for over 25 years.

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