research Visualization We build tools to explore and explain complex data through clear and interactive visual displays that reveal hidden patterns Physics Informed ML We design machine learning methods that combine data with physical laws to make predictions that are both accurate and scientifically sound Foundation Models Examining the skill and alignment of GenAI for complex problems in the atmospheric sciences at global scales Precipitation Modeling Our work focuses on creating models that improve how we measure predict and understand rain snow and other forms of precipitation Trustworthy AI We develop artificial intelligence systems that are reliable, transparent, and fair, helping users understand and trust the models they use.
