Sebastian Perez-Salazar earned his bachelor’s degree in mathematics in 2015 and his master’s in applied mathematics, both from the Universidad de Chile. He is a current PhD student at the Georgia Institute of Technology, studying Algorithms, Combinatorics and Optimization (ACO). His research interests include optimization problems related to resource allocation in cloud computing and decision-making under uncertainty with applications in ad-allocations. His projects have focused on improving current allocation models by considering unstudied levels of unpredictability and finding efficient solutions to them. He has completed engineering internships with Facebook, the Center for Mathematical Modeling at Universidad de Chile, and at Fundación Ciencia & Vida, dlab. He is the recipient of the Shabbir Ahmed Fellowship and was the runner-up for the 2019 INFORMS Computing Society Student Paper Prize. He has taught probabilities and optimization courses at Georgia Tech, and a variety of math courses in Chile. Sebastian’s professional service includes serving as an INFORMS session chair, journal referee, conference reviewer, and workshop TA. In future research, he aims to bridge the gap between online models and adaptive models, particularly focusing on models in scheduling applications, packing problems, and ad problems. As a faculty member, he looks forward to teaching industrial engineering courses such as optimization and probability, with a focus on industry application and drawing inspiration from his research and internships in industry.
Practical solutions in optimization under uncertainty