Programme 2
AI-Metagenomic Platform to Identify Emerging Pathogens
Metagenomic data collated worldwide will be combined into a single integrated databank that will be a key resource for improving disease surveillance and control and will be particularly useful for global health agencies such as the World Health Organization, Food and Agriculture Organization and World Organization for Animal Health. New analytic methods will also be developed using AI technology that can rapidly detect novel pathogens in metagenomic data.
Closer to home, researchers will use a novel platform developed through longitudinal sampling of human respiratory infections in the Greater Bay Area and other parts of mainland China and combine that with metagenomic sequencing to investigate causative agents of disease. The knowledge generated ultimately will improve the surveillance, control and treatment of respiratory infections in the region.
Scientific Leadership
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Professor Yi Guan
Lead Scientist
Professor Yi Guan
Lead Scientist (Programme 2)
Laboratory of Data Discovery for Health
Email: yguan@d24h.hk / yguan@hku.hkProfessor Guan is the Director of the State Key Laboratory of Emerging Infectious Diseases, Daniel CK Yu Professor in Virology, Professor: Chair of Emerging Viral Diseases, and Cluster Leader (Influenza and Infections of Public Health Significance) of Division of Public Health Laboratory Sciences at the School of Public Health, The University of Hong Kong. He currently leads the programme “AI-Metagenomic Platform to Identify Emerging Pathogens” (Programme 2) at the Laboratory of Data Discovery for Health.
His research focuses on the ecology, evolution and pathogenesis of influenza and other emerging respiratory viruses. Over the past decade, his research team has made ground-breaking and distinguished contributions to research in virology and to the control of emerging infectious diseases in China and the world.
Beginning in Year 2000, he initiated and organised a systematic influenza surveillance network, in human, swine, poultry and migratory bird populations, in Southern China. The information from this surveillance programme has provided the most comprehensive understanding of the ecology, evolution and dissemination of avian influenza viruses influenza viruses with pandemic potential worldwide.
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Professor Tommy Lam
Lead Scientist
Professor Tommy Lam
Lead Scientist (Programme 2)
Laboratory of Data Discovery for Health
Email: ttylam@d24h.hk / ttylam@hku.hkProfessor Lam is an Associate Professor of Division of Public Health Laboratory Sciences, School of Public Health at the University of Hong Kong, and currently leads the programme “AI-Metagenomic Platform to Identify Emerging Pathogens” (Programme 2) at the Laboratory of Data Discovery for Health.
His main research interest is the evolution, epidemiology and ecology of infectious diseases. He uses integrative genomic approach to determine the patterns, drivers and mechanisms of the emergence of pathogens at human-animal interface including influenza viruses and coronaviruses, as well as some bacterial pathogens and their antibiotic resistance emergence.
His research has contributed to important understanding of the origins, evolution and transmission of newly emerging pathogens such as H7N9 influenza (Nature 2013, Nature 2015), MERS coronavirus (EID2013, Science 2016) and COVID-19 coronavirus (Nature 2020). He is also leading the development of several computational methods and tools for the genomic analysis in the research community.
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Professor Edward Holmes
Co-Principal Investigator
Professor, School of Life and Environmental Sciences, and Sydney Medical School, The University of SydneyProfessor Edward Holmes
Co-Principal Investigator (Programme 2)
Professor, School of Life and Environmental Sciences, and Sydney Medical School; Member, Charles Perkins Centre, and Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney
Email: edward.holmes@sydney.edu.auProfessor Holmes is the Co-Principal Investigator of the programme “AI-Metagenomic Platform to Identify Emerging Pathogens” (Programme 2) at the Laboratory of Data Discovery for Health.
He holds various academic and research positions at the University of Sydney and is known for his work on the evolution and emergence of infectious diseases, particularly the mechanisms by which RNA viruses jump species boundaries to emerge in humans and other animals. He currently holds an ARC Australian Laureate Fellowship. He has studied the emergence and spread of such pathogens as SARS-CoV-2, influenza virus, dengue virus, HIV, hepatitis C virus, myxoma virus, RHDV and Yersinia pestis.
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Professor Maria Zhu
Co-Investigator
Associate Professor, Division of Public Health Laboratory Sciences, School of Public Health, The University of Hong KongProfessor Maria Zhu
Co-Investigator (Programme 2)
Associate Professor, Division of Public Health Laboratory Sciences, School of Public Health, The University of Hong Kong
Email: zhuhch@hku.hkProfessor Zhu is the Co-Investigator of the programme “AI-Metagenomic Platform to Identify Emerging Pathogens” (Programme 2) at the Laboratory of Data Discovery for Health.
She is a tenured Associate Professor at the School of Public Health of the University of Hong Kong (HKU) and an Adjunct Professor at the Shantou University (STU). She serves as Associate Director of the Joint Institute of Virology (STU/HKU) and the State Key Laboratory of Emerging Infectious Diseases (HKU-Shenzhen Branch). She is also the Co-director of Joint Laboratory for International Collaboration in Virology and Emerging Infectious Diseases, Ministry of Education, China.
Her research field is focused on mechanisms that lead to the virus emergence at the human and animal interface. In the past few years, she has identified the zoonotic sources, transmission routes, evolutionary pathways and molecular basis leading to the genesis of multiple severe viral threats to human health. Her work was repeatedly accepted for publication in Nature and Science and ranked as Highly Cited Paper (n=8) or ESI Hot Paper (n=2).
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Featured Publications
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09 Oct 2024
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- Molecular Biology and Evolution
27 Sep 2024
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19 Sep 2024
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- Perspective
19 Sep 2024
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- Virus Evolution
14 Sep 2024
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04 Sep 2024
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- Emerging Microbes & Infections
24 Aug 2024
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- Virus Evolution
25 Jul 2024
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A ~40-kb flavi-like virus does not encode a known error-correcting mechanism
- Proceedings of the National Academy of Sciences17 Jul 2024
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16 Jul 2024
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Genomic and phylogenetic features of the Picobirnaviridae suggest microbial rather than animal hosts
- Virus Evolution22 Apr 2024
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- Journal of Infection
09 Feb 2024
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Evidence for an ancient aquatic origin of the RNA viral order Articulavirales
- Proceedings of the National Academy of Sciences (PNAS)31 Oct 2023
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- Virus Evolution
14 Oct 2023
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12 Oct 2023
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- Virus Evolution
18 Aug 2023
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- Science of The Total Environment
16 Aug 2023
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25 Jul 2023
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17 Jul 2023
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- Nature Communications
10 Jul 2023
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- Journal of Virology
08 Jun 2023
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- PLoS Pathogens
17 May 2023
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- Water Research
15 May 2023
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- Emerging Microbes & Infections
01 May 2023
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- Scientific Reports
31 Mar 2023
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- Microbiome
14 Mar 2023
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Substantial viral and bacterial diversity at the bat–tick interface
- Microbial Genomics02 Mar 2023
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Metavirome of 31 tick species provides a compendium of 1,801 RNA virus genomes
- Nature Microbiology05 Jan 2023
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- Pathogens
26 Dec 2022
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08 Apr 2022
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- Nature Medicine
15 Mar 2021
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- Eurosurveillance
07 Jan 2021