Daniel Guimarans is a Principal Research Scientist at Amazon, specializing in supply chain, logistics, and transportation optimization. With over a decade of experience, they have transformed complex challenges into optimized solutions, leveraging advanced mathematical techniques such as simulation-optimization and constraint programming. Previously, Daniel worked as a researcher at NICTA and served in various academic roles, including as a postdoctoral researcher and senior researcher at institutions like the Universitat Autònoma de Barcelona and Monash University, contributing significantly to the fields of transportation and operations research. They hold a PhD in Computer Science and have published more than 40 peer-reviewed articles.
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