Huang Jian is a Senior Scientist under the Biostatistics and Bioinformatics platform at A*STAR IHDP. He is also an Adjunct Senior Scientist at the A*STAR Bioinformatics Institute (BII) and an Adjunct Assistant Professor at the NUS Yong Loo Lin School of Medicine.
His experiences encompass a broad spectrum of epidemiological research, ranging from early development to ageing. He navigates diverse omics data and employs advanced statistical methods in research across multiple birth and population-based cohorts. Building upon these multifaceted experiences, his current research focuses on uncovering the causal relationships between environmental and lifestyle factors and human health throughout the lifespan, as well as how molecular signatures in early development influence long-term health trajectories. He is leading early-life proteomics research in an Asian birth cohort, integrating genomics and proteomics to understand the biological mechanisms underlying child health and development, with a focus on shared pathways of cardiometabolic, neurodevelopmental, and psychological health. He also leads a project within Singapore’s national population cohort, leveraging electronic health records and causal inference methods to advance drug repurposing and pharmacovigilance. Ultimately, his research integrates multi-omics, longitudinal data, and causal inference to enable early intervention and inform public health policy.
Huang was awarded the Singapore National Medical Research Council, Open Fund - Young Individual Research Grant (NMRC OF-YIRG) in 2022 and the Human Health and Potential - Prenatal / Early Childhood Grant in 2024 to investigate the relationship between parental and early-life metabolic risk and child and adolescent development.
He obtained a Bachelor of Science in Pharmacy from Jinan University, and his Master of Public Health and PhD in Epidemiology and Biostatistics from The University of Hong Kong. He completed a postdoctoral fellowship at Imperial College London, investigating the causal relationships between lifestyle factors and molecular biomarkers and the risk of Alzheimer's disease.
Find out more about him here.
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