Dr. Xie is an Assistant Professor in the Division of Computational Health Sciences. With a multidisciplinary background encompassing medical informatics, data science, biology, health services research, and biostatistics, his research focuses on developing trustworthy machine learning (ML) and artificial intelligence (AI) solutions for healthcare. He applies these advanced methodologies across various medical domains, including critical illness, children's health, emergency medicine, and beyond.

Dr. Xie’s research focuses on developing novel informatics methodologies to address significant healthcare challenges and emerging biomedical problems. He has extensive experience working with large-scale multimodal data—such as electronic health records (EHR), clinical notes, signals, and multi-omics data—across various healthcare domains. He has also developed methodologies to enhance model interpretability, generalizability, and reproducibility, thereby fostering trustworthiness in machine learning applications within healthcare.