Théo Raduszynski

Théo Raduszynski is an experienced professional focused on AI and machine learning for the research and development of autonomous water reuse systems, aiming to address global water challenges. Théo has held roles such as Lead Machine Learning Engineer at WOTA, where Théo leads projects on online water quality sensors and anomaly detection. Previously, Théo interned at Nomura Securities International, Ridge-i, CIRED, and SNCF Réseau, contributing to diverse projects in consulting, machine learning, environmental science, and railway management. Théo earned a Master's degree in Civil and Urban Engineering with a focus on disaster mitigation at The University of Tokyo, and holds a Master's degree in Urban Planning and Environmental Engineering from École des Ponts ParisTech. Fluent in French, Japanese, and English, Théo also possesses a passion for cities, water treatment, and technology.