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Research Areas
Sebastian is broadly interested in operations research and optimization under uncertainty. He works on models and applications of decision-making under uncertainty, and much of his current work is motivated by applications in cloud computing and e-commerce. He is also broadly interested in mathematical optimization, especially discrete optimization, and Markov decision processes applied to revenue management and resource allocation.
Education
Ph.D. in Algorithms, Combinatorics, and Optimization (ACO), Georgia Institute of Technology, (2022)
M.S. in Applied Math, Universidad de Chile (2016)
B.Eng. in Applied Math, Universidad de Chile (2016)
Teaching Areas
Linear and Integer Programming, Revenue Management and Pricing, Approximation Algorithms, Combinatorial Optimization
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