Kai Niu is a data scientist and AI researcher with nine years’ experience applying deep learning and computer vision to medical imaging, particularly CT-based object detection and classification. Based in Greater Perth, he has led model development, evaluation, and documentation for regulatory pathways including FDA submissions, bridging technical work with clinical domain experts in cardiology and radiology. Kai combines hands-on data engineering—collection, cleaning, feature work—and robust software practices such as testing and technical documentation to deliver production-ready pipelines. His background spans predictive analytics and information systems (Curtin University) and an earlier design degree, giving him a rare mix of analytical rigor and product-minded creativity. He has a track record of identifying technical innovations suitable for IP and improving team methodologies and tooling. Notably, Kai’s experience includes model quality assessment and pipeline selection for regulated healthcare AI, an often-overlooked but critical skill in deploying clinical AI.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Arts - BA, Industrial and Product Design, 79, Bachelor of Arts - BA, Industrial and Product Design, 79 at Shandong University of Art&Design
Master of Commerce, Information System and Technology, 80.50, Master of Commerce, Information System and Technology, 80.50 at Curtin University
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