iPS & Organoid Read More

Flow Cytometry Facility Read More

Advanced Imaging Facility Read More

Centre for Healthy Aging Read More

Electron Microscopy Facility Read More

S'pore Lipidomics IncubatorRead More

Publication (A/Prof V Angeli) Read More

Publication (Prof Soong TW) Read More

Antibody Core Facility Read More

Histology Core FacilityRead More

Publication (Prof Paul MacAry) Read More

Publication (Dr Saji Kumar) Read More


The Life Sciences Institute (LSI) is a research centre dedicated to the understanding of fundamental biological pathways in human health and disease, environmental science and industrial processes.

We promote scientific discovery through creative and multidisciplinary approaches in an environment that is highly collaborative. We also seek to integrate our pioneering basic research with the application and exploitation of new research discoveries. LSI brings together scientists and clinicians from five NUS faculties and supports advanced core facilities and cutting-edge research infrastructure.

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NRF Investigatorship 2019 Award

Assoc Prof Matthew Chang, Director of NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), was one of the four recipients of the NRF Investigatorship 2019.

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Scientists harness machine learning to uncover new insights into the human brain

An inter-disciplinary research team led by Asst Prof Thomas Yeo, from SINAPSE NUS, has successfully employed machine learning to uncover new insights into the cellular architecture of the human brain.

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Walter Shaw Young Investigator Award in Lipids

Assoc Prof Chng Shu Sin, Assistant Head, Research and Education at the Department of Chemistry, Faculty of Science, NUS, has won the Walter Shaw Young Investigator Award in Lipids.

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Publication

Research conducted by Miss Gu Yue, Miss Tanusya Murali (above) and team has been recently published in Nature Communications.

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Publication

A research paper from Dr. Saji Kumar Sreedharan's lab is now published in PNAS. The work is about the precise timing (Spike Timing Dependent Plasticity (STDP)) for long-term associative memory formation at neural networks.

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