Greg Hakim is a Professor at the University of Washington who applies deep-learning models to advance weather and climate research, blending rigorous atmospheric science with modern AI techniques. With a career anchored at UW since 1999 and a PhD in Atmospheric Science from the University at Albany, he has led academic programs including serving as department chair from 2012–2017. His background includes a postdoctoral stint at NCAR, giving him a strong foundation in both observational and model-based atmospheric research. Known for translating complex physical problems into data-driven models, he brings nearly three decades of academic leadership to interdisciplinary teams. Based in Seattle, he pairs hands-on computational expertise with mentorship and curriculum development, often bridging the gap between theoretical climate science and practical forecasting tools.
9 years of coding experience
PhD, Atmospheric Science, PhD, Atmospheric Science at University at Albany
Earth-2 Model Intercomparison Project (MIP) is a validation framework that enables scientists to evaluate the skill of AI models for weather and climate.
Contributions:2 pushes, 1 branch in 1 day
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Greg Hakim - Professor at University of Washington