margarita.castro [at] ing.puc.cl
mpcastr3 [at] uc.cl
I'm an Assistant Professor in the Department of Industrial Engineering at Pontificia Universidad Católica de Chile. Send me an email if you have any questions about my work or if you are interested in working together.
I was previously a Post Doctoral Fellow at the Mechanical and Industrial Engineering department at the University of Toronto working with Prof. Merve Bodur. I obtained my Ph.D. from the Mechanical and Industrial Engineering department at the University of Toronto under the supervision of Prof. Chris Beck and Prof. Andre Cire.
My research focuses on discrete optimization problems and using Decision Diagrams to solve them. I am also interested in Integer Programming, Stochastic Programming, Constraint Programming, AI applications (e.g., AI planning and neural networks), and OR applications (e.g., scheduling and vehicle routing).
[CV] [Publications]
[Google Scholar] [WoS] [dblp] [Linkedin] [ORCID]
[GitHub]
News 2023:
I won the research grant "FONDECYT de Iniciación 2022" for three years to keep working on Decision Diagrams for discrete optimization.
Paper accepted in "Applied Energy" :
I presented my project with Merve Bodur and Yongjia Song at MIP Workshop 2023 on multi-stage stochastic programming [pre-print]
I presented my work with Merve Bodur and Amer Shalabi at IFORS 2023 and ICSP 2023 on a chance constraint model for the vehicle schedule problem.
Paper accepted in "Artificial Intelligence":
News 2022:
New manuscript with Merve Bodur and Yongjia Song :
Paper accepted INFORMS Journal on Computing:
News 2021:
I received the ACP Doctoral Research Award:
INFORMS 2021 talks:
Published paper at Mathematical Programming:
I joined the DIIS department at PUC as an Assistant Professor.
Talk at TSL Workshop 2021: Incorporating Service Reliability in Multi-depot Vehicle Scheduling: A Chance-Constrained Approach.
Talk at CORS 2021: Training binarized neural networks using MIP and CP (paper).
I joined the COOL lab at UofT as a Post Doctoral Fellow.