Prior to joining EdUHK, Professor Philip Yu worked at The University of Hong Kong, where he was Associate Director of the China Greater Bay Area Institute of Financial Innovation. He was Chair of the Asian Regional Section of the International Association for Statistical Computing, Vice President of the Hong Kong Statistical Society, and a member of the Technical Committee of Computational Finance and Economics, of the IEEE Computational Intelligence Society. He is an Associate Editor of Frontiers in Artificial Intelligence, Digital Finance, and Computational Statistics. Professor Yu obtained his Bachelor of Science degree in Mathematics (First class honours) and a PhD in Statistics from The University of Hong Kong.
His research interests are broad, including AI and big data analytics, non-parametric inference, ranking methods, time series analysis, financial data analysis, risk management and statistical trading. He has published a substantial volume of work on most of these topics, including two co-authored books on nonparametric statistics and more than 120 publications in conference proceedings and professional journals such as Biometrika, the Journal of Royal Statistical Society Series A, Biometrics, the Journal of Business and Economic Statistics, the Journal of Statistical Software, Statistics and Computing, Expert Systems with Applications, and IEEE Transactions on Neural Networks and Learning Systems.
In addition to organising and participating on programme committees for many international conferences, Professor Yu has been continuously engaged in outstanding teaching and mentoring activities, providing exceptional service to the statistics profession through numerous conferences and committee work, and promoting statistical literacy in Hong Kong through a number of outreach activities. He is a member of Assessment Working Group of the Chief Executive’s Award for Teaching Excellence (2020/2021). He has many years of rich experience in various contract research and consulting projects for business, industry and public bodies, including banks, insurance companies, stock exchanges, and the Hospital Authority.