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headshot of Bing Si

Bing Si

Assistant Professor

Systems Science and Industrial Engineering


Bing Si received her PhD in industrial engineering (IE) from Arizona State University in 2018. She received her BS in mathematics from the University of Science and Technology of China and an MS in IE from ASU in 2012 and 2014, respectively. Si’s research focuses on developing data analytics and statistical learning methodologies to support healthcare decisions in diagnosis, prognosis, treatment and care delivery. Her research has been applied to a number of disease domains including Alzheimer’s disease, migraines and traumatic brain injury. She has experience collaborating with medical professionals in the Mayo Clinic, the ASU School of Nursing and Health Innovation and the medical school at the Technical University of Munich.

Google Scholar


  • PhD, Arizona State University, 2018
  • MS, Arizona State University, 2014
  • BS, University of Science and Technology of China, 2012

Research Interests

  • Data analytics and statistical learning in patient care cycles; from diagnosis to care to system-level decision-making