Keyne Oei is a PhD Fellow in Visual Intelligence based in Norway with nine years of experience spanning research and software engineering. His work focuses on representation learning and time series modeling applied to electronic health records, complemented by research into explainability and interpretability for machine learning. He has held research positions at Saarland University and DFKI and brings practical engineering experience from industry roles earlier in his career. Known for combining rigorous visual computing training with pragmatic coding skills, Keyne is open to collaborations that bridge academic insights and real-world clinical data challenges.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at The University of Queensland
Master of Science - MS, Visual Computing, Master of Science - MS, Visual Computing at Universität des Saarlandes
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at University of Indonesia
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