Ang Meng is an associate scientist and data scientist with 11 years of engineering-rooted experience, currently applying ML and bioinformatics expertise at MSD in Singapore. He has a strong academic foundation in biomedical engineering from NUS and Waterloo and practical experience developing AI-driven pipelines for neuroimaging diagnosis during his A*STAR dissertation and internship. His background bridges wet-lab product validation—through a Thermo Fisher internship—with computational radiomics, giving him a rare combination of instrument-level rigor and machine-learning model development. Notably, he investigated data harmonisation effects on multi-batch structural MRI classification, demonstrating an attention to real-world data heterogeneity often overlooked in academic models. Colleagues describe him as a pragmatic problem-solver who translates complex clinical questions into reproducible analytic workflows.
11 years of coding experience
Bachelor of Engineering - BE Biomedical/Medical Engineering, Bachelor of Engineering - BE Biomedical/Medical Engineering at University of Waterloo
CIE A-Level Science, CIE A-Level Science at Tunku Abdul Rahman University of Management and Technology
Biomedical Engineering Biomedical/Medical Engineering, Biomedical Engineering Biomedical/Medical Engineering at National University of Singapore
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