Summary
Shu Oh is an AI Scientist based in Singapore with 8 years of experience applying deep learning to biomedical signals and imaging, particularly ECG and fundus/infrared analysis. At Ngee Ann Polytechnic he pioneered U-Net adaptations for heterogeneous ECG beat detection and implemented deep learning pipelines from scratch in MATLAB, and now drives AI projects at Cogninet Australia. His background blends biomedical engineering training with hands-on high-performance and parallel computing skills, enabling research-to-product translation in clinical and educational settings. Shu pairs technical rigor in model development and data analysis with an eye for clear scientific communication, producing medical and graphical illustrations for publications. Notably, he combines novice-level curiosity in information processing with practical expertise in deploying ML for real-world diagnostic tasks.
8 years of coding experience
8 years of employment as a software developer
Diploma in Materials Science, Materials Science, Diploma in Materials Science, Materials Science at Republic Polytechnic
Master of Engineering - MEng, ENGINEERING, Master of Engineering - MEng, ENGINEERING at Nanyang Technological University
Bachelor of Science (Hons.), Biomedical engineering (BME), Bachelor of Science (Hons.), Biomedical engineering (BME) at SIM University
Japanese, English, Chinese