Joey Green is a software developer and PhD candidate in Applied Cryptography with around 10 years of experience across Python, C++, and Java, and a background spanning robotics, high-performance computing, deep learning and hardware security. His doctoral thesis investigates computationally efficient inference-based attacks on AES using neural network classifiers, reflecting a rare combination of practical engineering and academic rigor. A Durham Computer Science first-class honours graduate, he blends low-level systems thinking with machine learning techniques to probe cryptographic vulnerabilities. Based in Sheffield, he is actively seeking challenging roles in cyber, hardware security or cryptography from late 2019 onward and brings hands-on research experience that often uncovers non-obvious attack vectors.
10 years of coding experience
Bachelor’s Degree, Computer Science, 1st Class Honours, Bachelor’s Degree, Computer Science, 1st Class Honours at Durham University
High School, A levels: Maths (A), Further Maths (A), Computing (A), Extended Project (A*), High School, A levels: Maths (A), Further Maths (A), Computing (A), Extended Project (A*) at Birkdale Senior School, Sheffield
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Bristol
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