Javed Samuel

Javed Samuel has been in the cybersecurity field for over two decades working on a range of products for a variety of companies from Fortune 500 companies to startups and the Caribbean. He delivered the 2024 Saint Lucia Independence Lecture on Engineering St. Lucia’s Development through Technology Innovation. He has provided support on various initiatives in Saint Lucia such as the AI Global South Summit in October 2024 and keynoted CARILEC’s smart grid security workshop in November 2024.

He is currently the Assistant Chief Examiner for CSEC Additional Mathematics, a member of 1st National Bank Board Information Technology sub-committee and a member of the CARILEC cybersecurity working group. He has worked on several projects within the Caribbean including a digital currency mapping project with CARICOM and DCash with the Eastern Caribbean Central Bank, Biodiversity token project in Trinidad and Tobago. This has included analyzing digital currency usage, modernizing the payment system, and enhancing problem-solving skills. He previously served on the board of SALCC, where he focused on information technology and e-learning initiatives.

His work in the United States has focused on novel cryptographic implementation and design assessments across a range of areas such as open-source cryptography projects, embedded devices, post-quantum cryptography, block-chain ecosystems, smart contract execution environments, authentication mechanisms, encryption tools and custom protocol reviews. He also devotes significant time to cryptography research across multiple areas and regularly presents at various security conferences with an upcoming presentation on post-quantum cryptography auditing in April 2025. Javed obtained an MEng and BSc in Computer Science MIT. His MEng thesis was in geometric algorithms: Lower bounds for Embedding the Earth Mover Distance Metric into Normed Spaces. He obtained a Rhodes Scholarship and completed an MSc in Applied and Computational Mathematics at Oxford University. His thesis was on analyzing a mathematical model of the spread of computer viruses: The Fitness Network: Properties and Epidemic Dynamics.