Jacob Carse is a research-focused machine learning engineer and PhD candidate at the University of Dundee with 11 years of experience applying deep learning and active learning to medical imaging, particularly digital histopathology and skin lesion diagnosis. He earned a First-class BSc and was named School of Computer Science Best Graduate in 2016, then completed an MSc by Research on dialogue systems with deep reinforcement learning supported by Samsung. His current work blends selective classification and uncertainty estimation to make diagnostic models safer and reduce dependence on labeled data. Known for high personal standards and an outgoing, collaborative approach, he thrives on learning new skills and mentoring peers. Based in Dundee, he combines rigorous academic training with hands-on AI research aimed at clinical impact.
11 years of coding experience
King Edward VI College
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Dundee
Bachelor of Science (BSc), Computer Science with Honours, First, 4.0 GPA, Bachelor of Science (BSc), Computer Science with Honours, First, 4.0 GPA at University of Lincoln
Contributions:21 commits, 2 pushes in 1 year 1 month
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Jacob Carse - Research Assistant at University of Dundee