Dr. Chao Ren is a postdoctoral researcher specializing in digital twin modeling and machine learning for offshore engineering applications. He earned his PhD from INSA Rouen Normandie, France, where he focused on reliability assessments of offshore wind turbines using active learning approaches. Currently based at the University of Stavanger, Norway, Dr. Ren integrates digital twin technology and machine learning to enhance the reliability and damage assessment of offshore renewable energy systems. His research has contributed to optimizing offshore wind turbine foundations, improving wave energy converter designs, and advancing floating wind turbine reliability. By developing and applying active learning algorithms, he has significantly improved the efficiency of structural simulations, supporting the next generation of offshore renewable energy solutions.