MJ Llorente

MJ Llorente has 10 years of experience as a practicing data scientist with a focus on ecological modeling and ecosystem regeneration. As lead data scientist at Balance, MJ collaborates with the firm’s hydrologists to develop climate-aware models for evaluating restoration efforts in California watersheds, train predictive models on flooding events at Bay Area gauging sites, and consolidate decades of historical data for easier analysis. He also provides internal support for data reporting and has developed data modeling projects with colleagues and clients. Through these efforts, MJ continues his goal of applying scientific knowledge and methodologies to confront climate change. MJ earned his doctoral degree in materials science and engineering from UC San Diego and his bachelor of science degree in engineering physics from UC Berkeley, where he focused on carbon capture and conversion methods with renewable energy. MJ entered the realm of data science in 2017, becoming an instructor at Galvanize Data Science Immersive in 2018 and a founding instructor at Galvanize’s Los Angeles campus in 2020.