With a PhD in physics and ample expertise in machine learning, Gustavo currently serves as lead data scientist in EDF R&D, leading the development of exciting AI-powered digital solutions.

At EDF, Gustavo has contributed to the development of novel computer vision-based tools for the remote inspection of energy assets. Along with his colleagues, Gustavo is engaged in cutting-edge research to leverage the latest advances in machine learning to support the efficient generation of green energy and the transition to net zero.

Gustavo currently leads the data team, whose work spans a range of subjects including building solutions to support nuclear decommissioning, scheduled maintenance of energy assets, and extracting insights from consumer energy load curves, helping millions of consumers manage their expenses during the energy crisis and reduce their carbon footprint.