Wenwen Kong

I’m a data scientist and climate scientist interested in combining hypothesis-driven thinking with data and models to understand complex real-world systems.

I hold a Ph.D. in climate dynamics from UC Berkeley and completed my postdoctoral training at UCLA, studying monsoons, land-atmosphere interactions, climate variability, and temperature extremes. My recent work has expanded into applied machine learning, computer vision, geospatial data, and generative AI.

I’m especially drawn to problems involving space, time, uncertainty, and patterns across scales. This site brings together my research, teaching materials, and things I’m learning along the way.