Interview featured in *El Mercurio - Chile Tecnológico* highlighting how data science tools tripled oncology patient care in a pilot project at Hospital de La Florida, developed in collaboration with Universidad Católica.
At PASC 2025, I presented our work on building a trusted and scalable data infrastructure to support the Regional Field Stations Network (RCER) at Universidad Católica. The talk introduced SAVIIA—a platform that integrates scientific and operational datasets across distributed field stations using structured governance, local orchestration tools, and cloud-based pipelines. By improving data reliability, accessibility, and integration, the initiative aims to empower researchers, foster interdisciplinary collaboration, and enhance reproducibility in field-based science.
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.