Mingxuan Liu
Scholar

Mingxuan Liu

Google Scholar ID: CZpuMC8AAAAJ
Duke-NUS Medical School
AI fairnessExplainable AIBiostatisticsHealth data science
Citations & Impact
All-time
Citations
570
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
7
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Research Experience
  • Current primary focus areas:
  • 1. Developing methodologies for AI fairness
  • 2. Interpretable machine learning with applications in healthcare, particularly within emergency medicine settings (keen to expand this focus to other clinical settings)
Education
  • Ph.D. Student at Duke-NUS Medical School
Background
  • A passionate junior researcher striving to bridge the gap between AI and healthcare. With a strong foundation in mathematics and statistics, complemented by robust programming skills, committed to creating innovative, practical, and trustworthy methodologies. Research interests include developing methodologies for AI fairness and interpretable machine learning with applications in healthcare, particularly within emergency medicine settings (keen to expand this focus to other clinical settings).
Miscellany
  • Contact information:
  • - Email
  • - ResearchGate
  • - LinkedIn
  • - Instagram
  • - Github
  • - Google Scholar