Runlong Yu Assistant Professor

•  My primary research interest is to advance artificial intelligence (AI) and data science to address real-world challenges with broad societal and scientific impact. A central theme of my work is the development of machine learning models that integrate scientific knowledge, enabling adaptation to dynamic and uncertain environments.
• my research leverages multimodal datasets (including remote sensing imagery, in-situ measurements, and process-based simulations) and incorporates them into physics-guided learning and retrieval-augmented frameworks.
• These methods aim to synthesize knowledge, facilitate hypothesis generation, and model complex natural systems. At UA, I lead the AI for Science Lab, where we develop algorithms, tools, and platforms to advance interdisciplinary science

Research Areas:

• Artificial Intelligence
• Data Analytics
• Generative AI & LLMs
• Geospatial Analysis
• Hydrology
• Water Quality