CLIMATE
The Datalab develops computational methods to address challenges related to climate change, sustainable infrastructure and resilient systems. Research combines machine learning, mathematical modelling, optimization and statistics to improve forecasting, planning and decision-making in energy, transportation and environmental systems.
Applications
- Climate
- Weather
- Sustainability
- Energy Systems
- Smart Grids
- Maritime Systems
- Transportation
- Climate Adaptation
- Environmental Risk
- Sustainable Infraestructure
- Insurance Analytics
Projects
Faculty
David Gómez-Ullate
Full Professor
Miguel Vaquero
Assistant Professor
Daniel Precioso
Postdoctoral Fellow
Bissan Ghaddar
Full Professor
Joe Naoum Sawaya
Associate Professor