Director of Machine Learning
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 his Ph.D. in Earth and Planetary Science at UC Berkeley. His dissertation focused on the physics and dynamics of convective clouds, and how they interact with large-scale weather patterns in the tropical atmosphere.