Our team participated in OPTIMA 2025 with three contributions across healthcare operations, observatory log analytics, and industrial maintenance. Presentations covered robust routing for home hospitalization, decision oriented relevance ranking for system logs at Paranal Observatory, and sensor based degradation modeling in bottling lines, highlighting our interdisciplinary approach to operations research, machine learning, and decision support.
At Notre Dame’s inaugural RISE AI Conference, I joined the 'Impact of AI in Latin America' panel to discuss equitable AI development -- data governance, capacity building, compute access, and collaborative models for public-good applications.
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.
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.