Event Details

Time: 15:00-16:30, November 21, 2025

Venue: Academic Building 2103 (AB2103), Duke Kunshan University

Language: English

Symposium Agenda

15:00–15:05 Welcome and opening remarks

Fujie Xu

Co-Director of Global Health Program and Professor, Duke Kunshan University

15:05–15:10 Introduction of the Speaker

Lei Wu

Student of MSc-GH Program, Class of 2026

15:10–15:50 Keynote Speech

Topic: How to Prepare for the AI Era in Global Health?

Tien Yin Wong

Tien Yin Wong, Professor & Senior Vice-Chancellor, Tsinghua Medicine and Vice-Provost Tsinghua University, Beijing, China

15:50–16:25 Panel Discussion and Q&A with audience

Panelists:

Tien Yin Wong,

Professor & Senior Vice-Chancellor, Tsinghua Medicine and Vice-Provost Tsinghua University, Beijing, China

Fujie Xu,

Co-Director of Global Health Program and Professor, Duke Kunshan University

Shixin Xu, 

Assistant Professor for Mathematics, Duke Kunshan University

16:25–16:30 Event wrap-up

Meet the Speakers

Tien Yin Wong

Professor & Senior Vice-Chancellor, Tsinghua Medicine and Vice-Provost Tsinghua University, Beijing, China

Professor Tien Yin Wong is a physician-scientist-innovator and the Senior Vice-Chancellor of Tsinghua Medicine and Vice-Provost of Tsinghua University, China. He has worked and held senior leadership roles in Singapore and Australia, including at the National University of Singapore. SingHealth Duke-NUS Academic Medical Centre, Singapore National Eye Centre and University of Melbourne. Prof Wong is a practicing retinal specialist, with a research portfolio on retinal diseases, ocular imaging, AI and digital technology. He has published >1,600 peer-reviewed papers (H-index 229, highly cited researcher 2020 to 2025), given >500 invited named, plenary and symposium lectures, and received >US$100 million in grant funding. Prof Wong has been recognized with multiple international awards, including Arnall Patz Medal (Macula Society), the Jose Rizal Medal (Asia Pacific Academy of Ophthalmology) and the Friedenwald Award (ARVO). He has received Singapore’s President’s Science and Technology Award. He is an elected international (foreign) member of the US National Academy of Medicine and the Australian Academy of Health and Medical Sciences. He is also an elected fellow of the UK Royal Society.

Fujie Xu

Co-Director of Global Health Program and Professor, Duke Kunshan University

Dr. Fujie Xu’s research interests focus on outbreak detection and health emergency response, and she was a “disease detective” in the global response to epidemics and pandemics, including the SARS outbreak and the H1N1 influenza pandemic. During “peace” time, her research focuses on the introduction of new vaccines, diagnostics and treatments against infectious diseases in the United States, China and other Asian countries. She has published widely on various aspects of infectious diseases, particularly HIV/STD, viral hepatitis infections, and emerging and re-emerging infections. She has extensive experience in health product innovations. Prior to her appointment at DKU in January 2025, she was the Deputy Director for Health Innovation and Partnership at the Gates Foundation’s China Country Office. Her teaching interests at Duke Kunshan include an introduction to global health institutions, global health challenges, and large-scale global health practice and programs. Xu received an MD in preventive medicine from Peking University and a PhD in epidemiology from Emory University. She did her postdoctoral training as an EIS officer at US CDC in Atlanta.

 Shixin Xu

Assistant Professor for Mathematics, Duke Kunshan University

Dr. Shixin Xu is an Assistant Professor of Mathematics at Duke Kunshan University and holds a Ph.D. from the University of Science and Technology of China. His research spans complex fluids and interfacial process modeling, multiscale transport in neurovascular coupling and brain microcirculation, and interpretable, structure-preserving machine learning/PDE methods for risk prediction and control. In healthcare, his work includes multiscale models of cerebrovascular and neurodegenerative mechanisms (e.g., tri/bidomain models clarifying optic-nerve potassium clearance and glymphatic pathways), aneurysm rupture risk assessment, and MRI-based prediction of hemorrhagic transformation in acute ischemic stroke. He has proposed clinical tabular-data models such as NCART and class-imbalanced GBDT toolsets to support decision making. Xu has served as PI or key contributor on three NSFC General Program projects, completed six industry collaborations, and published 50+ peer-reviewed papers.