Summary
Thomas Duriez is a researcher with nine years of experience specializing in experimental fluid mechanics, flow control, and machine learning–based closed-loop control. He has led and contributed to diverse projects—from designing DBD plasma actuators and MEMS pulsed actuators to developing auto-regressive predictive models and evolutionary algorithms for control—across CNRS and CONICET and as part of an international turbulence control team. His work blends hands-on experimental techniques (PIV, hot-wire, LDV, Schlieren) with data analysis and modeling to translate laboratory insights into practical control strategies, including collaborations with industry partners like Renault and SNCF. Notably, he has a track record of accelerating experimental workflows through original postprocessing tools and has several patents/industry-oriented outcomes stemming from applied R&D. Based in Argentina, he holds a doctorate in fluid dynamics and brings a rare combination of deep physics intuition and algorithmic control expertise.
9 years of coding experience
1 year of employment as a software developer
Ingénieur, Physique, Ingénieur, Physique at ESPCI Paris - PSL
DEA, Dynamique des fluides, DEA, Dynamique des fluides at Université Paul Sabatier Toulouse III
Doctorat, Dynamique des fluides, Doctorat, Dynamique des fluides at Université Paris Cité
Preparation to competitive exams, Preparation to competitive exams at Lycée d'Etat Faidherbe
French, English, Spanish, German