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

• [May 2025] Our work on data-driven sepsis risk stratification models for emergency care has been selected for presentation at the National Academy of Engineering Regional Meeting focused on Transforming Healthcare at the Intersection of AI and Medical Devices. Congratulations to Yanwei and the team.
• [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