In this presentation, I summarized our work on connecting prediction and prescription in energy management for residential microgrids, using stochastic optimization and machine learning to improve decision-making under uncertainty in systems with variable generation and storage.
Opinion piece in *El País* exploring how data-driven innovation can improve oncology waitlist management in Chile through digitalization, automation, and optimization.
This report presents Chile’s national strategy for implementing the FAIR data principles—Findable, Accessible, Interoperable, and Reusable—across its scientific and institutional ecosystems. Developed through a multi-institutional collaboration, it …
Rodrigo A. Carrasco and Jocelyn Dunstan discuss the versatile applications of mathematical optimization and data science, from radio telescopes to oncology waiting lists.
In this webcast, we share ideas and insights with Maria Francisca Yañez (Microsoft) and Patricio Cofre (EY) on the Opportunities and challenges we see with the new tools in generative AI.