Associate Professor Jing Li received her B.S. in Civil Engineering from Tsinghua University, China, in 2000, an M.A. in Statistics and a Ph.D. in Industrial and Operations Engineering from the University of Michigan in 2006 and 2007, respectively. Li’s research interests include applied statistics, data mining, causal modeling and inference for process control. Her recent research focuses on modeling and analyzing massive high-dimensional datasets in complex systems for improving the quality of products and processes. Her work has been applied to manufacturing and public health problems. Li is a member of the Institute for Operations Research and the Management Sciences (INFORMS) and the Institute of Industrial Engineers (IIE).
Ph.D., Industrial & Operations Engineering, University of Michigan, 2006
Statistical learning, data mining, biomedical and health informatics, quality and reliability engineering
Honors and awards
- Best Paper Award in Quality & Reliability, 2008
- Member-Institute for Operations Research and the Management Sciences (INFORMS)
- Member- Institute of Industrial Engineers (IIE)