Philip L.H. Yu is an Associate Professor at the Department of Statistics and Actuarial Science of the University of Hong Kong. His areas of research interests are the analysis of ranking data, statistical learning, text mining and financial and risk analytics. He has written a research monograph titled “Statistical Methods for Ranking Data” by Springer in 2014 and published more than 90 papers in conference proceedings and international refereed journals such as Biometrika, Journal of Business and Economic Statistics, Statistics and Computing, Computational Statistics and Data Analysis and IEEE Transactions on Neural Networks and Learning Systems.
He is a life member of International Chinese Statistical Association, a member of Hong Kong Statistical Society, American Statistical Association, International Statistical Institute, International Association for Statistical Computing (IASC), and IEEE Computational Intelligence Society. He is the president-elect of the Asian Regional Section of IASC, and Founding Chairman of SAS User Group in Hong Kong. He has been the Vice President of Hong Kong Statistical Society, Scientific secretary of IASC-ARS, Council member of IASC, Chair of Advanced Algo Trading Task Force of IEEE Computational Intelligence Society. He currently serves on the editorial boards of Computational Statistics and Data Analysis, Computational Statistics, Statistics, Optimization and Information Computing. He has been involved in the organizing and program committees in many international conferences. He also provided consultancy services to local community: Microsoft (Hong Kong), Manulife (Hong Kong), Bank of Tokyo-Mitsubishi UFJ Limited, Bank of China Group, Wing Lung Bank, etc.