Kaveh Shahhosseini is an Associate Researcher and PhD candidate in Computer Science at Teesside University with 12 years of experience bridging software engineering and business analysis into applied AI for healthcare. He focuses on machine learning and deep learning solutions for cancer diagnosis, treatment and monitoring, combining academic research with hands-on programming and lecturing. Prior roles as a business analyst in Iran cultivated his ability to translate clinical and business requirements into practical data-driven systems. Based in Middlesbrough, he’s driven by deploying novel AI methods that can measurably improve patient outcomes, and his GitHub-driven curiosity signals a sustained interest in using computational tools to unravel biological puzzles.
12 years of coding experience
Bachelor's Degree, Computer Software Engineering, Bachelor's Degree, Computer Software Engineering at Shahrood University of Technology
Master's Degree, Computer Software Engineering, Master's Degree, Computer Software Engineering at Payame Noor University
Mathematics, Mathematics at Nemoone Gorgan
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Teesside University
Contributions:8 commits, 2 PRs, 4 pushes in 2 years 1 month
usefulllinux-osshell-scriptslinuxgnu
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