An argument for moving from prediction to prescription where high-quality data, explicit uncertainty, and decision governance can turn models into actions that withstand scrutiny.
Conversation with PLANEO Magazine on how data science can support just and sustainable cities, from descriptive, predictive, and prescriptive analytics to governance, equity, and collaboration.
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.
Our team participated in MMR 2025 with three talks showcasing recent advances in data-driven maintenance. The presentations covered applications in the airline industry, distributed systems, and the wine sector, highlighting our interdisciplinary approach to predictive modeling, anomaly detection, and operational optimization.
Opinion piece in *El País* exploring how data-driven innovation can improve oncology waitlist management in Chile through digitalization, automation, and optimization.
Rodrigo A. Carrasco and Jocelyn Dunstan discuss the versatile applications of mathematical optimization and data science, from radio telescopes to oncology waiting lists.