We are a group of climate scientists, hydrologists, environmental engineers, and data scientists who work on better understanding hydroclimate and its variability across scales, better quantifying, and attributing predictability of the Earth system, and exploring adaptation strategies in the face of climate change. In doing so, we use, develop, and assess state-of-the-art data science techniques, such deep-learning models and explainable artificial intelligence (AI).

Research Areas
Artificial Intelligence and Machine Learning
Environment and Climate Science
Faculty
Antonios Mamalakis
Assistant Professor of Data Science
School of Data Science