Xin Tian is a researcher in the Ecohydrology team at KWR. His research interests and expertise are centered on hydroinformatics, especially on the use of optimization and data science for addressing a wide range of problems concerning water resources management and planning. His doctoral work at TU Delft proposed a novel optimization-based methodology, namely Model Predictive Control, to investigate real-time operations of the Dutch water system. Prior to joining KWR, he was a researcher working on several urban water projects, in the Netherlands, Singapore, and China, focusing on machine/deep learning and flexibility in decision making. These methodologies were improved and applied, aiming to help cities better predict and counteract challenges from climate change, population growth, etc. Furthermore, he has excellent programming skills in both Matlab and Python.