An experienced data scientist skilled in applied machine learning and statistical research, Max spearheads Deep Sky’s data science efforts. He’s passionate about exploring huge data sets and communicating results to non-technical audiences. Previously, he led machine learning projects at DataRobot, mining large, messy datasets, building data pipelines, training and validating ML models, and communicating findings to diverse audiences.

A climate scientist by trade, Catalina leads Deep Sky's permanent carbon mineralization work. She was most recently a Climate & Sustainability consultant for Boston Consulting Group (BCG), a climate scientist working on Carbon Capture and Storage at Columbia University, and a scientific advisor to Carbfix. Her technical expertise lies in understanding Earth systems for carbon mineralization, geothermal energy, earthquake mechanics and induced seismicity. Her work includes proof of concept and optimization of geologic carbon storage as a means of mitigating climate change.

A renowned scientist and carbontech innovator, Phil is responsible for revenue at Deep Sky. Previously, he was responsible for getting Deep Sky’s first facility, Deep Sky Alpha, off the ground to become the world’s first carbon removal and commercialization center. In his revenue role, Phil focuses on strategic partnerships, fundraising and commercialization. Before Deep Sky, Phil was a Sustainability Expert at McKinsey & Company. With a PhD in Materials Science & Engineering and a Masters in Chemistry, he has published 50+ papers in high impact science journals. A Forbes 30 Under 30 recipient in 2019, Phil was also a finalist in the $20M Carbon XPRIZE.