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
讚詞
張任宇教授現任香港中文大學決策、營運與科技學系副教授,同時亦是全球最大短視頻平台之一快手的經濟學家。他專注於運用人工智慧(AI)與資料科學推動商業決策。他研發大型語言模型、機器學習、因果推斷與數據驅動優化,並應用於線上平台與市場、共享經濟及社交網絡中的營運策略評估與優化。他的研究已發表於頂尖商學期刊,並獲得國家自然科學基金優青項目、騰訊與滴滴的資助。目前,他擔任 Operations Research 副主編及 Production and Operations Management 高級編輯。
張教授獲得香港研資局研究學者計劃資助,本研究旨在填補尖端人工智慧技術與商學研究應用之間的鴻溝。透過大型語言模型(LLMs)構建能模擬人類商業決策的 AI 代理,計劃期望能準確預測人類對特定政策干預的反應。進一步而言,將 AI 融入因果推斷框架,可實現個人化處理效果估計,提升政策評估的精準度並優化政策設計。同時,研究亦將探討生成式 AI(GenAI)在商業場景下的經濟與社會影響,特別聚焦於演算法公平性與資料隱私等議題。通過與業界合作,本計劃不僅深化我們對 AI 驅動商業決策的理解,亦與香港於 AI 與資料科學發展的戰略重點保持一致。












