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. In 2013, I obtained my Mathematical Engineering degree (B.Eng. and M.S. in Applied Math equivalent) under supervision of 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 matching markets, resource allocation and subset selection problems. In particular, I develop algorithmic tools and design optimization models to tackle challenges that appear in applications such as online advertising, student-school allocation, online matching platforms, facility location and data summarization. I am also interested in (1) societal challenges that arise in multi-agent and societal systems such as fairness, diversity, and the spread of misinformation; (2) the interactions between optimization and machine learning such as the design of new approaches for submodular optimization.


torrico [dot] alf [at] gmail [dot] com



Upcoming talks > INFORMS Annual Meeting (Oct 2022) and Mixed Integer Programming (MIP) Workshop (May 2023).

  • 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)

Academic Service

  • 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.

  • Conference reviewer: IPCO (2020 - 2022), NeurIPS (2021, 2022), ICML (2022), 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 - 2022).