Jake Edman

Director, Machine Learning at KoBold Metals

Jake is a data scientist and atmospheric physicist with experience tackling a wide variety of problems related to climate and sustainable energy. His previous work has ranged from researching the basic physics of climate change to developing software and data science tools to facilitate the transition to a clean energy economy.

Jake received a B.S. in Physics from UC Irvine before moving to UC Berkeley, where he earned his PhD in Earth and Planetary Science. His dissertation focused on the physics and dynamics of convective clouds, and how they interact with large-scale weather patterns in the tropical atmosphere.


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