Philip Yu is a Professor at the Department of Mathematics and Information Technology, and the Associate Director of the University Research Facility of Data Science and Artificial Intelligence at the Education University of Hong Kong. He currently serves as an Executive Committee Member of the International Association of Statistical Computing, and has previously held the Chairperson for the Asian Region Section of the International Association of Statistical Computing. Also, he has been the Vice President of the Hong Kong Statistical Society, a Council Member of the Hong Kong Mathematical Society, and a member of the Technical Committee of Computational Finance and Economics, IEEE Computational Intelligence Society. Professor Yu is also an Associate Editor for several journals, including Frontiers in Artificial Intelligence, Journal of Data Science, Statistics, and Visualisation, Journal of Applied Statistics, and Digital Finance. In 2009, he was elected as an Elected Member of the International Statistical Institute.

His current research interests include statistical methods and machine learning for ranking data, data science and AI, and their applications in education and healthcare, time series analysis, risk management, and environmental statistics. He has authored over 160 publications, including two well-reviewed research monographs on ranking methodology, and has received multiple international invention awards.

Professor Yu is dedicated to exemplary teaching and mentoring, providing outstanding service to the statistics and data science fields through numerous conferences and committee work. He actively promotes statistical and AI literacy in Hong Kong through outreach initiatives. With more than three decades of extensive experience, he has contributed to numerous contracted research/consulting projects and professional services for businesses, industries, and public bodies, including banks and insurance companies, stock exchanges, the Education Bureau (HKSAR), the Hong Kong Examinations and Assessment Authority, the Department of Health (HKSAR), the Hospital Authority, the Census and Statistics Department (HKSAR), and secondary schools.

Courses Taught in 2025-26:

MTH6184 Data Mining in STEM Education (MSc(AI&EdTech) course, 2nd semester)

Honorary Professor, Department of Computer Science, The University of Hong Kong, since 9/2020.