Siyuan (Bruce) JIN (金思远) is a PhD candidate in Information Systems at HKUST Business School, advised by Prof. Kar Yan Tam. He is currently a visiting scholar at the Wharton School, University of Pennsylvania, working with Prof. Lynn Wu until December 2026.
His research sits at the intersection of AI, blockchain, and FinTech, studying how each lowers a coordination cost and reopens a question of governance: AI use in enterprise IT management, blockchain infrastructure and application governance, and the design of tokenized money. His methods include data analytics, econometrics, and experimental methods. His papers have been accepted by leading IS journals, including Journal of Management Information Systems (JMIS, FT50) and ACM Transactions on Management Information Systems (TMIS), as well as top IS conferences, including ICIS, CIST, and SCECR. His papers are nominated as best paper of ICIS 2024 and ICIS 2025. He has been involved in several Hong Kong Monetary Authority (HKMA) white papers related to central bank digital currencies (CBDCs) and quantum computing. He has also collaborated with HSBC, NetEase, Shanbei, and other companies.
He received the China National Scholarship (2020), Hong Kong PhD Fellowship (HKPFS) (2024), and Young Scientists Program Award (2025). He was also awarded the 2025 NSFC Young Student Basic Research Program Grant (300,000 RMB). He was selected for the ICIS, CIST, and PACIS Doctoral Consortia (2026). Through the IS Reading Group, he has organized 40+ online IS PhD student seminars.
Before HKUST, he worked for two years at HSBC as a trainee and full-stack engineer, focusing on blockchain projects in IT Architecture and the HSBC Laboratory. He received the 2021 Top Performer and Role Model awards, and was a finalist in the 2021 Global CBDC Challenge organized by the Monetary Authority of Singapore.
He serves as an ad hoc reviewer for leading journals and conferences, and received the Best Reviewer Award at ICIS 2025. In teaching, he was a guest lecturer on blockchain at South China University of Technology and has served as a teaching assistant for multiple courses at HKUST, including undergraduate-level, and DBA-level courses.
Research Focus
I work at the intersection of AI, blockchain, and FinTech, studying general-purpose technologies that lower a coordination cost and, in doing so, reopen a governance question. Making work cheaper to coordinate is not the same as making it accountable, and that gap is what my research measures.
Upcoming Talks 7 scheduled
Curriculum Vitae
Full record of my publications, working papers, conference presentations, teaching, and service.