Christopher Hendra is a Senior Data Scientist based in Singapore with nine years of experience bridging mathematics, software engineering and applied AI. He holds a PhD from NUS where he developed novel deep learning methods for direct RNA modification detection and applied attention-based MIL to medical imaging, work that produced the m6Anet tool for nanopore data. In industry he has translated research into production-scale solutions for preclinical drug development, building pipelines for whole-slide image analysis, leveraging large vision models, GAN-based virtual staining and scalable inference across millions of patches. Comfortable managing external collaborators and vendors, he combines hands-on PyTorch expertise with practical engineering to operationalize biomarkers and spatial multi-omics workflows. A distinctive strength is fusing signal-level bioinformatics techniques with computer vision to extract interpretable biomarkers from complex biological data.
9 years of coding experience
8 years of employment as a software developer
Anglo-Chinese Junior College
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at National University of Singapore
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