Summary
Adrien Gauché is a machine learning engineer and PhD-level researcher with eight years' experience applying ML and operations research to energy management and microgrid control. He helped design predictive control systems and MILP/heuristic optimizers for battery and hydrogen storage at PowiDian, cutting operational costs through time-series forecasting and simulation-driven validation. Trained as an electrical engineer with advanced studies in smartgrids, he blends hands-on Matlab simulations and PyTorch/Scikit-learn model development with practical deployment and user-facing tooling. Adrien has published and presented at international conferences, supervised students, and maintains a strong technology watch on emerging energy innovations. A detail that often surprises collaborators: his background spans naval reserve leadership and agricultural work, reflecting rare operational discipline and practical problem-solving alongside academic rigor.
8 years of coding experience
Licence 1, Sciences de l'ingénieur, Licence 1, Sciences de l'ingénieur at Université de Perpignan - UPVD Alumni
Baccaulauréat, Sciences, agronomie, Mention bien, Baccaulauréat, Sciences, agronomie, Mention bien at Lycée agricole
Doctorat, Optimisation & génie électrique, Doctorat, Optimisation & génie électrique at Ecole centrale de Nantes
Ingénieur généraliste, Ingénierie, Master, Ingénieur généraliste, Ingénierie, Master at Ecole Supérieure des Technologies Industrielles Avancées
Classe préparatoire aux grandes écoles, MPSI/MP, Classe préparatoire aux grandes écoles, MPSI/MP at Lycée
Master, Control in Smartgrids and Distributed Generation, Master, Control in Smartgrids and Distributed Generation at Universidad del País Vasco/Euskal Herriko Unibertsitatea
English, Spanish, French