李達宇現任National Taiwan University公共衛生學院健康政策與管理研究所副教授，並獲教育部玉山青年學者榮譽，曾擔任Harvard University訪問學者。其學術背景為健康經濟與健康政策，長期投入跨領域研究，結合人工智慧方法與健康資料分析。過去曾於Imperial College London、University of Melbourne、National University of Singapore及Australian National University等國際機構從事研究與教學工作，累積豐富經驗。

研究領域涵蓋人工智慧在醫療照護之應用與評估、健康經濟與醫療科技評估、健康不平等、多重慢性病，以及健康政策與制度設計等議題。近年研究特別著重於運用機器學習技術分析醫療資料，並探討其對醫療體系效率與公平性的影響。

在教學方面，開設「人工智慧在健康照護」、「醫療科技評估與成本效益分析」、「健康經濟學：理論與實務」等課程，著重培養學生跨領域分析能力與政策思維。在學術服務方面，現任BMJ Global Health與npj Digital Public Health副主編，並擔任Humanities and Social Sciences Communications及PLOS Digital Health編輯委員，積極參與國際學術社群與研究合作，推動人工智慧與公共衛生領域之整合與發展。

John Tayu Lee is currently an Associate Professor at the Institute of Health Policy and Management, College of Public Health, National Taiwan University, and a recipient of the Yushan Young Scholar Award from the Ministry of Education, Taiwan. He has also served as a visiting scholar at Harvard University. His academic training is in health economics and health policy, with a strong focus on interdisciplinary research integrating artificial intelligence and health data analytics. He has previously held research and teaching positions at Imperial College London, University of Melbourne, National University of Singapore, and Australian National University, gaining extensive international academic experience.

His research interests include the application and evaluation of artificial intelligence in healthcare, health economics and health technology assessment, health inequalities, multimorbidity, and health policy and system design. In recent years, his work has particularly focused on applying machine learning techniques to healthcare data and evaluating their implications for healthcare system efficiency and equity.

In teaching, he offers courses such as “Artificial Intelligence in Healthcare,” “Health Technology Assessment and Cost-Effectiveness Analysis,” and “Health Economics: Theory and Practice,” aiming to equip students with interdisciplinary analytical skills and policy-oriented thinking. In terms of academic service, he currently serves as an Associate Editor for BMJ Global Health and npj Digital Public Health, and as an Editorial Board Member for Humanities and Social Sciences Communications and PLOS Digital Health. He is actively engaged in international academic collaborations and contributes to advancing the integration of artificial intelligence and public health.

研究領域 Field of research 

• 人工智慧於醫療照護 Artificial Intelligence in Healthcare

• 機器學習 Machine Learning

• 健康經濟學 Health Economics

• 醫療科技評估  Health Technology Assessment

• 政策評估 Policy Evaluation

• 國際衛生 Global Health