Research interests: 

Dr. Xin Zan's research interests are focused on weakly supervised learning to systematically develop novel advanced data-driven analytics methodologies for complex system modeling, monitoring, and diagnosis, with applications in healthcare, manufacturing, service, etc.

• Statistical and machine learning with weak supervision
• Knowledge-enhanced deep learning
• Spatial temporal analysis and modeling
• Causal analysis and inference
• Health informatics and healthcare systems engineering

I am currently seeking for self-motivated PhD student who is passionate about applied statistics, data science, and artificial intelligence. Ideal candidate should have background in engineering, statistics, mathematics and/or strong programming skills in at least one programming language (Python, R, or Matlab is preferred). If interested, please email your detailed CV, (unofficial) transcripts, and research interests to xin-zan@uiowa.edu. The position remains open until filled.

Contact:  xin-zan@uiowa.edu

Publications: Google Scholars Citation Record

Joined the College of Engineering: Fall 2024