ICPHAi Macao 2026 brings together internationally recognised experts spanning three thematic tracks. Speakers are listed by session track below. The full programme is available on the Programme page.
Opening / General
Welcome, Opening & Closing Remarks
Prof. Chitin Hon
Opening & KeynoteDirector, Respiratory Disease AI Laboratory in Epidemic Intelligence and Applications of Medical Big Data Instruments, Macau University of Science and Technology
Welcome & Opening Remarks / Keynote 6 — Trusted Research Environments for Public Health and Medical AI
Prof. Eric Deharo
Opening & ClosingCo-Director, HKU-Pasteur Research Pole, The University of Hong Kong
Welcome & Opening Remarks / Closing Remarks
Track A
Bridging Classical Toxicology and Exposomics
Prof. Qian Liu
Keynote 1Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences
Keynote 1 — From Exposure to Pathogenesis: A Closed-Loop Framework for Toxicological Validation in Exposomics
Prof. Guibin Jiang
Keynote 1Chinese Academy of Sciences
Keynote 1 — From Exposure to Pathogenesis: A Closed-Loop Framework for Toxicological Validation in Exposomics
Jorge Honles
Keynote 4Institute of Research for Sustainable Development
Keynote 4 — Spatial Exposomics Identifies Pesticide Mixtures Associated with Cancer Risk and Environmental Inequities at the National Scale
Stéphane Bertani
Keynote 4Institute of Research for Sustainable Development
Keynote 4 — Spatial Exposomics Identifies Pesticide Mixtures Associated with Cancer Risk and Environmental Inequities at the National Scale
Dr Pascal Pineau
Keynote 7Pasteur Institute
Keynote 7 — Exposure to Endocrine Disruptors and the Genomic Landscape of Early-Onset Hepatocellular Carcinoma
Track B
Respiratory Epidemic AI
Prof. Hui-Ling YEN
Keynote 2Interim Director and Professor, School of Public Health, The University of Hong Kong
Keynote 2 — Emerging Viral Diseases at the Animal–Human Interface: Influenza, Coronaviruses, and Arboviruses
Etienne Charlier
Keynote 8DIY AI
Keynote 8 — Training data matter more than neural network architecture for real-world AI performance in mpox lesion classification
Nicolas Berthet
Keynote 8Pasteur Institute
Keynote 8 — Training data matter more than neural network architecture for real-world AI performance in mpox lesion classification
Prof. Liang Wenhua (梁文华)
Invited Talk 2To be confirmed
Invited Talk 2 — Title to be confirmed
Additional speakers to be confirmed.
Track C
Public Health Data Governance / Trusted Research Environment
Prof. Zhang Wenhong (张文宏)
Keynote 3To be confirmed
Keynote 3 — Title to be confirmed
Prof. Zhong Weide (钟惟德)
Keynote 5To be confirmed
Keynote 5 — Artificial Intelligence Empowering Medical Development / Roundtable Moderator
Prof. Lu Jianming (卢建明)
Keynote 9To be confirmed
Keynote 9 — Big Data-Driven Investigation of the Functions and Mechanisms of Biomarkers in Urological Tumours
Yuxing Han (韩宇星)
Invited Talk 3Tsinghua Shenzhen International Graduate School
Invited Talk 3 — How AI Transforms Health: More, Less, Then More
Speaker to Be Confirmed
Invited Talk 1To be confirmed
Invited Talk 1 — Urology-related title to be confirmed
ℹ️ The complete speaker programme will be updated as confirmations are received. Speaker biographies and full presentation details will be published in due course.