Jingshen ​Wang, PhD

Biography

My research develops statistical methods for reliable AI and biomedical data science, with interests in model evaluation and AI for health, adaptive experimental design, and precision medicine. Across these areas, my group studies how to generate reliable biomedical evidence while making efficient use of data, human expertise, study participants, and computational resources.

Research Interests

• Reliable AI and statistical inference
• AI and machine learning for health
• Adaptive experimental design
• Precision medicine and causal inference

Education

• PhD – Statistics
  University of Michigan, 2013–2019
• BS – Statistics and Mathematics
  Nankai University, 2009–2013