I am an Assistant Research Professor at the Center for Data Science for Enterprise and Society (CDSES), Cornell University.
Before joining Cornell, I was a postdoc at the CERC in Data Science, Polytechnique Montréal under supervision of Andrea Lodi and Margarida Carvalho. I obtained my Ph.D. in Operations Research under supervision of Mohit Singh, Sebastian Pokutta and Alejandro Toriello at the H. Milton Stewart School of Industrial and Systems Engineering, Georgia Tech. I also got my Mathematical Engineering degree (B.Eng. and M.S. in Applied Math equivalent) advised by Roberto Cominetti at the Mathematical Engineering Department, Universidad de Chile.
Research Interests
My main research interests lie at the intersection of optimization and operations research with a focus on the design of novel algorithmic tools and optimization models to tackle challenges that appear in multi-agent and societal systems at large.
Recently, I have been focused on optimization models and other operational tools to make cities more equitable, efficient and sustainable. I am especially interested in understanding pressing issues that urban centers currently face such as disparities across different communities at the city-level, equitable budgeting and provision of services, the impact of economic shocks, among others.
In the past, I have worked in several topics related to resource allocation, student-school allocation, online matching platforms, diversity, or more broadly, submodular optimization, assortment optimization, stable matching and online matching models. I am also excited about the interactions between submodular optimization and machine learning.
News
Upcoming Talks: IOS (March 2024), Combinatorial Optimization for Online Platforms at BIRS (April 2024), ISMP (July 2024).
Mar 2024 > New preprint "Two-sided Assortment Optimization: Adaptivity Gaps and Approximation Algorithms" (with O. El Housni and U. Hennebelle)
Jan 2024 > "Adaptivity Gaps in Two-sided Assortment Optimization" (with O. El Housni and U. Hennebelle) was accepted at IPCO'24.
Oct 2023 > Talk at the 2023 INFORMS Annual Meeting.
Aug 2023 > New preprint "Platform Design in Matching Markets: A Two-Sided Assortment Optimization Approach" (with I. Rios)
July 2023 > "Stable Matching with Adaptive Priorities" was accepted in EAAMO'23 as a poster.
May 2023 > Talks at the Mixed Integer Programming (MIP) Workshop and the SIAM Conference on Optimization 2023.
May 2023 > "Capacity Planning in Stable Matching: An Application to School Choice" was accepted in EC'23.
May 2023 > Co-organized the Data-Driven Urban Tech Workshop at Cornell Tech, May 15-17, 2023.
Feb 2023 > Talk at the CMOR Department, Rice University.
Jan 2023 > Talk at Roberto Cominetti's Fest (Workshop on Optimization, Learning and Games).
Oct 2022 > Talk at the 2022 INFORMS Annual Meeting.
Oct 2022 > Joined the CDSES at Cornell University as an Assistant Research Professor.
Aug 2022 > New preprint "Capacity Planning in Stable Matching: An Application to School Choice" (with F. Bobbio, M. Carvalho, A. Lodi and I. Rios)
May 2022 > New preprint "Capacity Variation in Many-to-one Stable Matching" (with F. Bobbio, M. Carvalho and A. Lodi).
Feb 2022 > Talks at GERAD and at the 3rd Games, Agents, and Incentives Workshop at AAMAS'22.
Dec 2021 > Talk at DIRO Colloque, University of Montreal.
Dec 2021 > "Dynamic Relaxations for Online Bipartite Matching" (with A. Toriello) was accepted in the INFORMS Journal on Computing.
Aug 2021 > "Preserving Diversity when Partitioning: A Geometric Approach" (with S. Perez-Salazar and V. Verdugo) was accepted in EAAMO'21.
June 2021 > New preprint "Multi-agent Assortment Optimization in Sequential Matching Markets" (with M. Carvalho and A. Lodi). UPDATED (Sep. 2023)
Teaching
Spring 2023, Cornell University: Revenue Optimization and Marketplace Design, ORIE 4154/5154 (UG/Masters)
Academic Service and Activities
Organizing committee: Data-Driven Urban Tech Workshop (May 2023)
Journal reviewer: Operations Research, INFORMS Journal on Computing, Mathematical Programming, Management Science, Mathematics of Operations Research, Computers and Operations Research, Journal on Combinatorial Optimization, Optimization Letters, SIAM Journal on Optimization, Networks, Transportation Research Part C, European Journal of Operational Research.
Conference reviewer: IPCO (2020 - 2023), NeurIPS (2021, 2022), ICML (2022, 2023), ICLR (2022), LATIN (2022), SODA (2023).
Tutorial: Submodular optimization and the greedy algorithm. IFORS Newsletter, December 2021 issue.
Session chair at the INFORMS Annual Meeting (2017 - 2023).
Co-founder of the Ph.D. Student Seminar series at ISyE, Gatech.