Summary
Justin Lynch is an adjunct professor and policy-minded technologist with a decade of leadership across defense, national security, and AI policy. He has translated front-line military command experience into strategic roles—leading research and analysis for the National Security Commission on AI and advising the White House on AI policy—while teaching at George Washington and Georgetown. Justin combines operational rigor (planning multinational training and coordinating movements of people and materiel) with analytic discipline to brief senior leaders and shape high-level policy. Currently bridging academia, a stealth-mode startup, and teaching, he brings practical program management and business analysis to emerging AI efforts. He is also a passionate solo developer exploring machine learning and language models, blending hands-on curiosity with policy expertise. Based in Washington, D.C., he pairs West Point and Johns Hopkins training with applied tech study (MIT xPRO quantum computing) to navigate the intersection of security, policy, and AI.
1 year of coding experience
8 years of employment as a software developer
History, Military History, History, Military History at United States Military Academy at West Point
Master of Arts (M.A.), Government with a Concentration in Security Studies, Master of Arts (M.A.), Government with a Concentration in Security Studies at Johns Hopkins Krieger School of Arts and Sciences
Professional Certificate, Introduction to Quantum Computing, Professional Certificate, Introduction to Quantum Computing at MIT xPRO