Zhong's research interests lie primarily in the areas of Machine Learning and Data Mining. His current work centers around Feature Selection, Instance Selection, Contextual Anomaly Detection, Hybrid Models and Digital Twin. Specifically, the topic of his PhD program is "Feature and data subset selection for contextual anomaly detection using hybrid models”, which is part of the DIGITAL TWIN program. Before joining the EDA group at Leiden University, Zhong obtained a Bachelor’s Degree in Statistics from Tongji University in Shanghai, China. He then received a Master’s Degree in Mathematics from Tongji University and a Diplôme d’Ingénieur (double degree) in Data Science from ENSAI in Rennes, France.