Hong Jie is a Ph.D. candidate in the College of Computer Science and Technology at Jilin University, under the supervision of Prof. Yan Wang. His research focuses on the intersection of artificial intelligence and biomedical informatics, with particular interests in reinforcement learning, graph neural networks, and transcriptomics data analysis.

His current research involves developing hierarchical reinforcement learning frameworks combined with graph neural networks for multi-omics data integration and analysis. He aims to identify key biomarkers and molecular mechanisms underlying complex diseases, particularly in cancer genomics and early diagnosis.

He has developed HATZFS, a novel hierarchical reinforcement learning approach with zero-forcing set theory for pancreatic cancer driver biomarker prediction. This work demonstrates the potential of combining advanced AI techniques with biological domain knowledge for precision medicine applications.

Prior to his doctoral studies, he received his Bachelor's degree from Jiangxi University of Science and Technology and Master's degree from Jilin University, where he built a solid foundation in computer science, machine learning, and bioinformatics.