Qing Li is a professor at Xinjiang University in China, specialising in econometric and statistical analyses (predictive analysis with continuous or discrete response, causal analyses, longitudinal analyses, measurement error, etc.), as well as in data mining techniques (supervised learning such as classification analysis and unsupervised learning such as clustering analysis). Dr. Li masters the tools of such analyses as Stata and R, in combination with leading-edge tools in data science such as Spark. He has published several articles in scientific journals (Statistica Neerlandica, Statistics in Medicine, Aging Cell, PloS One, etc.) and his research focuses on innovative methodologies for data processing. He holds a Ph.D in economics with specialisation in econometrics and health economics from the University of Lausanne. He also has a postdoctoral training in health science and computer data mining from the University of Sherbrooke.