Geophysical data is gathered at unprecedented pace, and new paradigms are needed to make sense of the physical world.
Geophysical data is gathered at unprecedented pace, and new paradigms are needed to make sense of the physical world.
We develop and deploy advanced AI technologies to improve global measurements of Earth variations and environmental footprint. Our analytics help organizations to monitor operations, identify remedial actions, and prioritize investments.
Claudia Hulbert
Claudia obtained her doctorate in machine learning and geoscience from ENS Paris. She has years of expertise in in machine learning applied to geophysics. Claudia also holds advanced degrees in applied mathematics and machine learning, and formerly worked as a scientist at the Los Alamos National Laboratory, and at OECD in public policy. Claudia received several entrepreneurial awards, and her research has been published in top scientific journals and has been featured in high profile media.
Bertrand Rouet-Leduc
Bertrand obtained his doctorate from the University of Cambridge, UK, in machine learning and materials science. Since then, Bertrand has been developing AIs for geoscience at the Los Alamos National Laboratory (LANL), where he held a permanent research position, and at Kyoto University, where he is an Assistant Professor. Bertrand's research has been published in top scientific journals and in the general press, including broadcasted documentaries.