Kuangnan Fang is currently a professor  in the Department of Statistics and Data Science, School of Economics, Xiamen University. He is also  the chief expert of a major project funded by the National Social Science Foundation of China, the deputy director of the Department of Statistics and Data Science at Xiamen University, the director of the Credit Big Data and Intelligent Risk Control Research Center at Xiamen University, an Elected Member of the International Statistical Institute, the vice president of the National Teaching and Research Association of Industrial Statistics, the vice president of the Big Data Statistics Branch of the China Association for Probability and Statistics, the vice president of the Market Research and Teaching Research Branch of the China Business Statistics Society, and an executive director of the China Educational Statistics Society. He has been selected for national - level high - level young talent programs (organized by the Organization Department of the Central Committee), Fujian Province high - level talent (Class A), Fujian Province "Special Support Double Hundred Plan" young top - notch talents, Xiamen University Nanqiang Young Top - notch Talents (Class A), Fujian Province Outstanding Young Scientific Research Talents Training Program in Universities, and Fujian Province New Century Excellent Talents Support Program in Universities. 

     He has published over 100 academic papers. Among them, more than 50 papers have been published in statistics and data science journals such as Journal of the American Statistical Association, Journal of Machine Learning Research, Biometrics, Statistica Sinica, Bioinformatics, and Journal of Computational and Graphical Statistics. More than 50 papers have been published in economics and management journals such as Journal of Econometrics, Journal of Business & Economic Statistics, INFORMS Journal on Computing (UTD24), Journal of Business Research, International Journal of Forecasting, Annals of Operation Research, Journal of Forecasting, Economic Research Journal, Statistical Research, Journal of Management Sciences in China, The Journal of Quantitative & Technical Economics, The Journal of World Economy, Systems Engineering - Theory & Practice, and Chinese Journal of Management Science. Many of his papers have been reprinted in full by the Central Compilation and Translation Bureau, Reform Forum Network, and Renmin University of China's Reprinted Materials. 

     He has rich practical experience in big data mining, business data analysis, statistical consulting, and government decision - making consulting. He has served as an independent director of several companies. He has successively undertaken a number of government decision - making consulting projects for the National Bureau of Statistics, Xiamen Municipal Party Committee, Shenzhen Municipal Government, Xiamen Bureau of Statistics, etc., as well as more than 30 horizontal projects for enterprises and institutions such as Lenovo, Huawei, State Grid, China Southern Power Grid, and CSOT. The project content involves big data credit reporting, insurance claim prediction, data mining in intelligent manufacturing, public opinion analysis and text mining, economic forecasting and decision - making, index compilation and prediction and early warning. He has applied for 6 national invention patents and 1 group standard.

     He has done a great deal of work in promoting the application of statistics and data mining. He provides technical in - house training for enterprises and institutions and teaches courses such as R Machine Learning and Data Mining, R Data Analysis, and Python Machine Learning. In addition, he gives lectures for MBA/EDP programs at Xiamen University, South China University of Technology, etc., to promote the application of statistics in enterprises and institutions, as well as digital operation and management.