His research focuses on the development of new methodologies for large-scale dynamic optimization under uncertainty, and the application of these methodologies to the design of practical revenue management strategies across various industries ranging from airlines and retail to online advertising. Farias is a recipient of the 2006 INFORMS MSOM Student Paper prize for a research paper judged to be the best in the field of operations management. A consultant in the finance industry, he most recently contributed to GMO LLC’s first successful high-frequency algorithmic trading strategy. Farias holds a BS in computer engineering from the University of Arizona, and a PhD in electrical engineering from Stanford University.