Greg Hakim

Professor at University of Washington

Seattle, Washington, United States
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Summary

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Senior
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Top School
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.
code9 years of coding experience
bookPhD, Atmospheric Science, PhD, Atmospheric Science at University at Albany
bookWall High
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Github Skills (2)

source-code-analysis7
static-analysis6

Programming languages (1)

Python

Github contributions (5)

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modons/graphcast

May 2024 - Sep 2024

Contributions:3 pushes in 4 months
modons/earth2mip

Oct 2023 - Oct 2023

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