Summary
Graham Enos is a Chief Scientist in Machine Learning with over 14 years of experience blending applied mathematics, statistical modeling, and production-grade software engineering. He has driven ML and quantum-focused research and product work at Strangeworks and Rigetti, translating cutting-edge quantum/AI concepts into client solutions and deployed models. A former Department of Defense applied research mathematician with prior Top Secret/SCI clearance and a full-scope polygraph, he brings uncommon experience in high-assurance, mission-critical analytics and secure engineering practices. Graham’s background spans prototyping novel algorithms in Python/R, integrating models into large Scala codebases, and optimizing HPC workflows—skills informed by a PhD in Applied Mathematics. Colleagues describe him as a pragmatic researcher who accelerates development cycles (he once earned an award for instituting continuous integration that saved significant time and cost), making him adept at turning deep theory into reliable, scalable systems.
14 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at University of North Carolina at Charlotte
High School Diploma, High School Diploma at George School
Bachelor of Arts (B.A.) Mathematics and Philosophy, Bachelor of Arts (B.A.) Mathematics and Philosophy at Bates College