Thomas Mason is an application security consultant and red-team infosec engineer with eight years of experience defending and testing network, web, cloud, and LLM-powered systems. With an MS in Computer Science from NYU’s Courant Institute and a background in quantitative economics, he blends rigorous research, graph/network theory, and data-driven analysis to uncover complex threat patterns. He has practical experience across wireless, radio, physical, and social-engineering domains and now focuses on application security for cloud and LLM environments at Coalfire. Thomas also pursues investigative journalism and historical research, bringing curiosity and interdisciplinary context to vulnerability analysis and reporting.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at New York University
Bachelor of Arts (B.A.) Econometrics and Quantitative Economics, Bachelor of Arts (B.A.) Econometrics and Quantitative Economics at Tufts University
Class projects for Machine Learning (CSCI-GA.2565-001) with Rajesh Ranganath. All programs written in the Python language. We will be using the Kaggle billboard lyrics (https://www.kaggle.com/rakannimer/billboard-lyrics) Collaborative Project by Odike Eze-Echesi and Thomas Mason. Courant Institute - Spring 2019
Contributions:2 PRs, 8 pushes, 1 branch in 6 days
collaborative-projectkagglepythoncscibillboard
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