Ke-Wei Huang

Ke-Wei Huang is an Associate Professor at the Department of Information Systems and Analytics, National University of Singapore (NUS), and Executive Director of the Asian Institute of Digital Finance (AIDF). He joined NUS in 2007, holding prior roles including Assistant Dean of Graduate Studies and founding director of NUS's FinTech MSc/PhD programs. Huang holds a PhD from NYU Stern and degrees from National Taiwan University. His research focuses on machine learning for social science, FinTech, data mining in finance, and IT labor economics. Notable works include studies on hierarchical forecasting, AI's impact on jobs, and pricing strategies for digital goods.

Education:

• PhD in Information Systems, NYU Stern (2007)
• MSc in Information Systems, NYU Stern (2002)
• MBA in Finance, National Taiwan University (1997)
• BSc in Electrical Engineering, National Taiwan University (1995)

Research Interests: Machine Learning applications in FinTech, data science for financial forecasting, labor economics of IT professionals, and pricing models for digital goods. His work bridges econometrics and computational methods, addressing challenges like missing data, measurement bias, and hierarchical variable decomposition.

Awards & Grants:

• $1.6M Singapore NRF Grant (2020) for AI-driven financial text analysis
• Multiple teaching excellence awards (2013–2016)
• Best paper nominations at ICIS, WITS, and CSWIM

Advising & Labs: Advised 8 PhD graduates, including faculty at Chinese University of Hong Kong and South China University of Technology. Active in FinTech education, leading courses like Machine Learning for Finance and Risk Analytics. Research teams focus on AI's societal impact, financial innovation, and data-driven decision-making.