Filippo De Girolamo

Filippo De Girolamo is a mechanical engineer and researcher working at the intersection of computational fluid dynamics and machine learning for wind energy applications. He holds a PhD in Energy and Environment from Sapienza University of Rome in Italy, with research focused on wind turbine flows and data-driven modeling of wake dynamics in offshore environments. He has developed experience across multiple wind energy problems, including wake and turbulence modeling with Large-Eddy Simulation, data-driven wake decomposition via unsupervised learning, and SCADA-based diagnostics for wind farm monitoring. He also carried out a research visit at the University of Texas at Dallas, working on high-fidelity simulations of real wind farms in complex terrain.

He is currently at KTH as a Digital Futures Postdoctoral Fellow, having received funding for the projectData-Driven Reduced-Order Models for Wind Farms Control. His supervisors are Prof. Dan Henningson and Prof. Hedvig Kjellström.

Awards:

Digital Futures Postdoctoral Fellow (KTH, Sweden, 2026)

Eni's Call4Innovators for HPC resources on HPC6 (Sapienza University of Rome, Italy, 2025)