Author

Ka-Wai Cheung

Singapore-MIT Alliance for Research and Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Immunology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:flow cytometry· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Assay:long-read sequencing· 1

Frequent Co-Authors

Denise Bei Lin TeoiD· 2 shared Wei‐Xiang SiniD· 2 shared David Chien LyeiD· 1 shared Elizabeth LeeiD· 1 shared Eng Eong OoiiD· 1 shared Eugenia Ziying OngiD· 1 shared Faris Kairi· 1 shared Francesca LimiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersImmunology

Denise Bei Lin TeoORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Dengue infection elicits skin tissue-resident and circulating CD8+ T-cells associated with protection from hospitalization.

Noor Zayanah Hamis, Justin S. G. Ooi, Ka-Wai Cheung, Valerie Chew, Michaela Gregorová, Eugenia Ziying Ong, Kuan Rong Chan, Tun-Linn Thein, Yee‐Sin Leo, David Chien Lye, Eng Eong Ooi, Laura Rivino

Science Advances · Mar 20, 2026Peer-reviewedImmunology

Use of cellular FAD autofluorescence as a label-free cellular attribute for the production of chimeric antigen receptor-T cells

Ka-Wai Cheung, Faris Kairi, Denise Bei Lin Teo, Wei‐Xiang Sin, Yen Hoon Luah, Yunxin Chen, Francesca Lim, Yie Hou Lee, Michael E. Birnbaum

This paper evaluates using FAD autofluorescence as a label-free biomarker to monitor T cell activation and expansion in CAR-T cell production.

Cytotherapy · May 15, 2025Peer-reviewedImmunology

Machine-learning based detection of adventitious microbes in T-cell therapy cultures using long read sequencing

James P. B. Strutt, Meenubharathi Natarajan, Elizabeth Lee, Denise Bei Lin Teo, Wei‐Xiang Sin, Ka-Wai Cheung, Marvin Chew, Khaing Thazin, Paul W. Barone, Jacqueline M. Wolfrum, Rohan B. H. Williams, Scott A. Rice, Stacy L. Springs

This paper develops a machine learning approach using long-read sequencing to rapidly detect microbial contaminants in T-cell therapy cultures at low abundance.

Microbiology Spectrum · Aug 30, 2023Peer-reviewedBioinformatics