Samuel Davoust

Samuel Davoust is a senior wind energy technologist and co-founder with a PhD in Mechanical Engineering, specializing in the intersection of physics-based modeling and advanced data analytics. With a career spanning strategic leadership roles at GE Renewable Energy and Avent Lidar Technology, he possesses deep expertise in developing system simulation software, aero-elastic modeling, and remote sensing applications. His professional focus centers on reducing modeling uncertainty through the integration of operational SCADA data with high-fidelity physical models. As the Science Lead at Tipspeed, Davoust spearheads the development of digital twin frameworks designed to quantify operational wake losses and detect yaw misalignment at scale. By leveraging satellite imagery and hybrid data-driven approaches, he provides asset managers with the technical diagnostic tools required to improve wind farm power output. His methodology addresses critical industry challenges in distinguishing between wind resource variability and turbine performance issues, facilitating data-backed remediation for operating assets.