I’m an Assistant Professor at the Division of Computational Health Science in Department of Surgery at the University of Minnesota. I completed my postdoctoral fellowship at Stanford University School of Medicine, working with Dr. Nima Aghaeepour. Before that, I earned my PhD in Integrated Biology and Medicine (specialized in health services and data science research) from Duke-NUS Medical School in 2022, where I worked with Dr. Bibhas Chakraborty, Dr. Nan Liu, and Dr. Marcus Ong. I received my BS degree from Tsinghua University in 2017.

My research integrates expertise from medical informatics, biology, health services research, and biostatistics. I focus on developing innovative and trustworthy machine learning (ML) and artificial intelligence (AI) solutions, and applying them across various healthcare domains. My work involved leveraging large-scale multimodal data, including electronic health records (EHR), clinical notes, signals and multiomics data, to address significant healthcare challenges. I have also developed methodologies to enhance model interpretability, generalizability, and reproducibility, thereby fostering trustworthiness in AI/ML applications within healthcare.

Research Interest

• Trustworthy machine learning methods to promote model transparency, fairness and reproducibility in medical applications
• Secondary analysis of multimodal electronic health data, including EHR, clinical notes, and signal data.
• Risk stratification models for acute critical illness in clinical settings
• Biomedical informatics and clinical decision-making support system

Recent News

• [August 2024] I Joined the University of Minnesota as an Assistant Professor
• [May 2024] I started to serve as an Associate Editor for Journal of Medical Internet Research

For more info/collaboration, welcome to contact

Address: 11-132 Phillips-Wangensteen Bldg., 516 Delaware Street SE, Minneapolis, MN 55455

Email: xie00469@umn.edu