David Lo is the OUB Chair Professor of Computer Science and Director of the Information Systems and Technology Cluster at the School of Computing and Information Systems, Singapore Management University. He is the inaugural Director of the Center for Research on Intelligent Software Engineering (RISE) -- see https://news.smu.edu.sg/news/2023/07/24/rising-build-better-faster-and-cheaper-software for more details of RISE. *Research*: For nearly two decades, he has championed the research area on AI for Software Engineering and Cybersecurity, specifically demonstrating how AI – including data mining, machine learning, information retrieval, natural language processing, and search-based algorithms – can transform passive data stored in various software repositories into automation and insights. He has also pushed for more maturity in the development of AI and Web3 systems through empirical studies and the design of automated tools. He has published 500+ journal & conference papers on these topics that have gathered 30k+ citations. *Teaching*: He has taught various software engineering and software analytics courses. *Service*: He has served in 40+ conference organizing committees, including serving as the General Chair of the 31st IEEE/ACM International Conference on Automated Software Engineering (ASE'16) and a Program Co-Chair of ASE'20, 32nd ACM Symposium on the Foundations of Software Engineering (FSE'24), and 47th IEEE/ACM International Conference on Software Engineering (ICSE'25). He has also served on 10+ journal editorial boards, including IEEE Transactions on Software Engineering and the Communications of the ACM. *Awards*: For his research and service contributions, he has won 20+ international awards, including the IEEE TCSE Distinguished Service award, two Test-of-Time (or Most Influential Paper) awards, and seven ACM SIGSOFT/IEEE TCSE Distinguished Paper awards. He is an ACM Fellow (for contributions to synergizing artificial intelligence and software engineering for human-in-the-loop automation, and software analytics), IEEE Fellow (for contributions to synergizing software engineering & data mining), Fellow of Automated Software Engineering, and NRF Investigator (2023-28). Moreover, he has been nominated for five university-wide teaching awards and won the 2022 SMU Teaching Excellence Award. More information about him and his work can be found at his homepage (www.mysmu.edu/faculty/davidlo/), his Google Scholar profile (scholar.google.com/citations?user=Ra4bt-oAAAAJ), and his Twitter/X account (twitter.com/davidlo2015).