Prof. Tay received his BSc degree from the University of Singapore and his PhD degree from Harvard University. He is a professor in the Department of Computer Science. His main research interests are performance modelling (caching systems, wireless protocols, Internet traffic, database transactions) and database systems (synthetic generation of data, social networks and concurrency control). He has an enduring interest in the use of local time in distributed computing. His publications appear in JACM, ACM TODS, ACM TOCS, ACM TOS, JCSS, JSAC, PEVA, OR, ACM PODS, SIGMOD, VLDB, ICDE, CoNEXT, INFOCOM, ASONAM, RTSS, etc. Prof. Tay was a Member of Technical Staff at Sequoia Systems (a startup that built a tightly-coupled multiprocessor machine for transaction processing), a consultant for WindowsNT Performance Group at Microsoft (Redmond), Visiting Faculty at Intel Research (Cambridge), and Scholar-in-Residence at VMware (Palo Alto). He has spent sabbaticals at Princeton, MIT, UCLA and National Taiwan University. He was a member of the Editorial Board for VLDB Journal, and is currently a Senior Associate Editor for ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS). He has served on many conference Program Committees, including SIGMETRICS, SIGMOD, VLDB, ICDE, IFIP Performance and IFIP Networking. Prof. Tay has won several teaching awards at the Faculty of Science and School of Computing. He is the author of Analytical Performance Modeling for Computer Systems (Springer) and Locking Performance in Centralized Databases (Academic Press).