About Me

I’m a Chilean Assistant Professor of Computational Applied Mathematics and Operations Research at Rice University. I’m also a member of the Ken Kennedy Institute and AI-OWLS at Rice University.

My Research

I’m broadly interested in operations research and optimization under uncertainty. My work primarily focuses on developing models and applications for decision-making in uncertain environments. My current work is motivated by applications in cloud computing and e-commerce. Additionally, I am broadly interested in mathematical optimization and Markov decision processes with applications to revenue management, pricing, and resource allocation.

Background

I obtained my Ph.D. in the multidisciplinary Algorithms, Combinatorics, and Optimization (ACO) program at the Georgia Institute of Technology. My home department was ISyE and I was fortunate to be advised by Mohit Singh and Alejandro Toriello. I also hold a B.Eng. and M.S. in Applied Math from Universidad de Chile.

Papers

• Stochastic Scheduling with Abandonments via Greedy Strategies. Y. Xu, R. Ghuge, and S. Perez-Salazar. (Submitted).
• Maximin Online k-Selection. S. Perez-Salazar, A. Torrico. (Submitted).
• The IID Prophet Inequality with Limited Flexibility. S. Perez-Salazar, M. Singh, A. Toriello. (Submitted).
• Optimal Guarantees for Online Selection Over Time. S. Perez-Salazar, and V. Verdugo. (Submitted).
  – Conference version in WINE 2024.
• Splitting Guarantees for Prophet Inequalities via Nonlinear Systems. J. Brustle, S. Perez-Salazar, and V. Verdugo. (Submitted).
  – Conference version in WINE 2024.
• Robust Online Selection with Uncertain Offer Acceptance. S. Perez-Salazar, M. Singh, A. Toriello. Mathematics of Operations Research 2024.
• On First-Order Meta-Reinforcement Learning with Moreau Envelopes. M. Toghani, S. Perez-Salazar, C. A. Uribe. Proceedings of the 2023 62nd IEEE Conference on Decision and Control (CDC).
• Adaptive Bin Packing with Overflow. S. Perez-Salazar, M. Singh and A. Toriello. Mathematics of Operations Research 2022. (Talk in AGCO Seminar).
  – Honorable mention, 2022 INFORMS Optimization Society 2022 Student Paper Prize.
• Dynamic Resource Allocation in the Cloud with Near-Optimal Efficiency. S. Perez-Salazar, I. Menache, M. Singh and A. Toriello. Operations Research, 2021.
  – Runner-up, 2019 INFORMS Computing Society Student Paper Prize (Highlight)
• Preserving Diversity when Partitioning: A Geometric Approach. S. Perez-Salazar, A. Torrico, V. Verdugo. In ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2021).
• Differentially Private Online Submodular Maximization. S. Perez-Salazar and R. Cummings. In Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021).
• Graph reconstruction in the congested clique. P. Montealegre, S. Perez-Salazar, I. Rapaport, I. Todinca. Journal of Computer and System Sciences (2020).
• Two rounds are enough for reconstructing any graph (class) in the congested clique model. P. Montealegre, S. Perez-Salazar, I. Rapaport and I. Todinca. In Proceedings of the 25th International Colloquium on Structural Information and Communication Complexity (SIROCCO 2018).

Theses

• El problema de la degenerancia de grafos en Congested Clique (in Spanish). M.S. in Applied Math thesis, Universidad de Chile, 2016.
• New benchmarking techniques in resource allocation problems: theory and applications in cloud systems. Ph.D. ACO thesis, Georgia Tech, 2022.

Contact

Computational Applied Mathematics and Operations Research, Rice University.
Duncan Hall 3021.
Houston, Texas.
e-mail: sperez [at] rice [dot] edu