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By Yingying
Li |
Yingying Li is Chair Professor at the Department of Information System, Business Statistics and Operations Management (ISOM) and the Department of Finance at Hong Kong University of Science and Technology (HKUST). She served as acting head of the FinTech Thrust at HKUST(GZ) at its initial stage. Before joining HKUST, Dr. Li also held positions as lecturer and postdoctoral fellow at the Bendheim Center for Finance and the Operations Research and Financial Engineering department at Princeton University. Dr. Li received her Ph. D in Statistics from the University of Chicago. Prof. Li's research focuses on statistical learning for financial big data, large portfolio optimization, individualized financial decision making, volatility estimation and prediction etc. Prof. Li has published in top journals in statistics, finance and economics, such as Econometrica, Review of Financial Studies, Journal of Financial Economics, Annals of Statistics, Journal of American Statistical Association, Journal of Econometrics. Prof. Li is an RGC Senior Research Fellow, elected Fellow of the Society for Financial Econometrics (SoFiE), and NSFC Excellent Young Scientist (EYS Hong Kong and Macau). She is serving or has served as an associate editor for the Journal of American Statistical Association, Journal of Econometrics, Journal of Business & Economic Statistics and Journal of Financial Econometrics. She is also a council member for the Society for Financial Econometrics. |