Philip Yu is an Assistant Dean (Taught Postgraduate Programmes), the Faculty of Science and an Associate Professor at the Department of Statistics and Actuarial Science of the University of Hong Kong (HKU). He is the Chairperson of the Asian Region Section of the International Association of Statistical Computing, Associate Director of China Greater Bay Area Institute of Financial Innovation, and a member of Steering Committee of the Big Data Research Cluster, the Faculty of Science, and an affiliate member of the Laboratory for Space Research at HKU. He has been the Vice President of the Hong Kong Statistical Society, and a member of the Technical Committee of Computational Finance and Economics, IEEE Computational Intelligence Society. He is an associate editor of Frontiers in Artificial Intelligence, Digital Finance, and Computational Statistics. His research interests are broad and includes non-parametric inference, ranking methods, time series analysis, financial data analysis, risk management and statistical trading. He has a substantial volume of work on most of these topics, including two co-authored books and more than 100 papers in conference proceedings and international refereed journals such as Biometrika, Journal of Business and Economic Statistics, Statistics and Computing, Journal of Statistical Software, Expert Systems with Applications, and IEEE Transactions on Neural Networks and Learning Systems. With more than 20 years of research experience in computational statistics, his current research interests lie more in the area of AI and big data analytics. Recent research projects include preference learning and social networks, financial news analytics, and developing AI medical imaging diagnostic systems.