I’m an Assistant Professor at the Division of Computational Health Science in the Department of Surgery and a Graduate Faculty of Data Science in the College of Science and Engineering 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 (specializing 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, fostering trustworthiness in AI/ML applications within healthcare.

Research Interest

• Trustworthy ML/AI methods for healthcare
• Novel risk stratification/prediction methods
• Data Science in emergency and critical care
• Maternal and child health research
• Secondary analysis of multimodal electronic health data, including EHR, clinical notes, and signal data.

Recent News

• [November 2024] I will be making an oral presentation at AMIA 2024 Annual Symposium about using language models in risk stratification for maternal and child health
• [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. If you would like to become a peer reviewer for JMIR, please sign up for your interest by filling out this form.

For more info/collaboration, welcome to contact

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

Email: xie00469@umn.edu