Biography
(只提供英文版)
- Associate Professor in Department of Decisions, Operations and Technology at The Chinese University of Hong Kong
- Research interests include AI and data science to empower business decision making, especially for the operations of large-scale online platforms
- RFS project — aims to address the gap between state-of-the-art AI technologies and the adoption of such technologies in business research. By using large language models (LLMs) to build AI agents to simulate human decision making in business, the study aims to predict human responses to certain policy interventions accurately. By integrating AI into causal inference frameworks, personalised treatment effect estimations can lead to more precise policy evaluations and efficient optimisations for the policy of interest. Furthermore, the research delves into the economic and societal impacts of generative AI (GenAI) in business contexts, focusing on areas like algorithmic fairness and data privacy. Collaborating with industry partners, this project seeks to enhance our understanding of AI-driven business decision-making, aligning with Hong Kong’s strategic focus on AI and data science development.
- Awards and Honours:
- RGC Research Fellow (2025)
- NSFC Excellent Young Scientist Program (2024)
Project Title
(只提供英文版)
- AI-Powered Data-driven Decision Making in Business
赞词
张任宇教授现任香港中文大学决策、营运与科技学系副教授,同时亦是全球最大短视频平台之一快手的经济学家。他专注于运用人工智慧(AI)与数据科学推动商业决策。他研发大型语言模型、机器学习、因果推断与数据驱动优化,并应用于线上平台与市场、共享经济及社交网络中的营运策略评估与优化。他的研究已发表于顶尖商学期刊,并获得国家自然科学基金优青项目、腾讯与滴滴的资助。目前,他担任 Operations Research 副主编及 Production and Operations Management 高级编辑。
张教授获得香港研资局研究学者计划资助,本研究旨在填补尖端人工智慧技术与商学研究应用之间的鸿沟。透过大型语言模型(LLMs)构建能模拟人类商业决策的 AI 代理,计划期望能准确预测人类对特定政策干预的反应。进一步而言,将 AI 融入因果推断框架,可实现个人化处理效果估计,提升政策评估的精准度并优化政策设计。同时,研究亦将探讨生成式 AI(GenAI)在商业场景下的经济与社会影响,特别聚焦于算法公平性与数据隐私等议题。通过与业界合作,本计划不仅深化我们对 AI 驱动商业决策的理解,亦与香港于 AI 与资料科学发展的战略重点保持一致。












