Prof. Hassanzadeh leads the Climate Extremes Theory and Data (CeTD) group focused on integrating theory, simulations, observations, and machine learning techniques to understand the dynamics and future changes of extreme weather events in a changing climate. He also leads the AI for Climate (AICE) Initiative, a program of the Data Science Institute and the Institute for Climate and Sustainable Growth, focused on the inter-disciplinary integration of AI with fundamental domain knowledge to accelerate and transform climate research with a focus on both scientific advances and societal impacts.
Related Research
Journal Article·May 21, 2025
Can AI weather models predict out-of-distribution gray swan tropical cyclones?
Journal Article·Nov 26, 2024
Machine Learning for Climate Physics and Simulations
Journal Article·Nov 11, 2024
Machine learning for the physics of climate
Related Insights, News, and Past Events
Op-Ed & Analysis·Nov 14, 2025
Forecasting the Unseen: AI Weather Models and Gray Swan Extreme Events
via Siam News
In The News·Sep 18, 2025
AI-based monsoon forecasts help 38 million Indian farmers make planting decisions
via The Hindu
In The News·Sep 16, 2025
Farmers in India Are Tracking Monsoon Season With the Help of AI
via the Wall Street Journal
News·May 21, 2025
AI is good at weather forecasting. Can it predict freak weather events?
via UChicago News
In The News·Feb 5, 2025
At the Intersection of Climate and AI, Machine Learning is Revolutionizing Climate Science
via Georgia Institute of Technology
News·Jun 6, 2024
UC Santa Barbara Leads $9.5 Million Research Project on Ocean Cycles
via The Santa Barbara Independent
