Imperial College London


Faculty of EngineeringDepartment of Aeronautics

Professor in Computational Fluid Mechanics



+44 (0)20 7594 5045s.laizet Website




339City and Guilds BuildingSouth Kensington Campus





I am a professor in the Department of Aeronautics at Imperial College London (ICL). I hold a PhD and a Habilitation à Diriger des Recherches from the University of Poitiers in France in the field of Computational Fluid Dynamics (CFD) applied to turbulence. 

Understanding turbulent flows and how to use them in various engineering applications is the motivation behind my research. With my collaborators at Imperial College, in France and in Brazil, we develop high-order finite-difference highly-scalable flow solvers dedicated to turbulent flows.

Within the turbulence simulation group, we are currently investigating wake-to-wake interaction in wind farms, Bayesian optimisation techniques for drag reduction and energy saving, active control solutions of free shear flows, immersed boundary methods for moving objects, neural networks applied to computational fluid dynamics and particle-laden gravity currents. Finally, we are looking at the potential of quantum algorithms for CFD.



Bempedelis N, Laizet S, Deskos G, 2023, Turbulent entrainment in finite-length wind farms, Journal of Fluid Mechanics, Vol:955, ISSN:0022-1120

Diessner M, O'Connor J, Wynn A, et al., 2022, Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics, Frontiers in Applied Mathematics and Statistics, Vol:8

Giannenas A, Bempedelis N, Schuch F, et al., 2022, A Cartesian immersed boundary method based on 1D flow reconstructions for high-fidelity simulations of incompressible turbulent flows around moving objects, Flow, Turbulence and Combustion, Vol:109, ISSN:0003-6994, Pages:931-959

Giannenas A, Laizet S, Rigas G, 2022, Harmonic forcing of a laminar bluff body wake with rear pitching flaps, Journal of Fluid Mechanics, Vol:945, ISSN:0022-1120


Gori F, Wynn A, Laizet S, 2023, Sensitivity of wind farm wake steering strategies to analytical wake models, Pages:669-677

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