Sam Fraiberger is an AI program lead and scientist with nine years of experience translating advanced quantitative research into policy-ready artificial intelligence at the World Bank Group. Trained as an applied mathematician (Harvard) and economist (PhD, NYU), he bridges rigorous academic research—postdoctoral and fellowship roles at Northeastern and Harvard—with practical policymaking applications. His work centers on building AI tools that inform and evaluate public policy, combining econometric rigor with machine learning and network science. Sam’s background includes research roles at NYU Stern and the IMF, giving him rare fluency in both macroeconomic policy and technical model development. He currently holds visiting researcher status at NYU Computer Science, signaling ongoing engagement with cutting-edge methods and students. Colleagues would note his ability to turn complex theoretical models into operational decision-support systems that scale across government contexts.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering (BEng), Applied Mathematics, Bachelor of Engineering (BEng), Applied Mathematics at Ecole centrale de Paris
PhD, Economics, PhD, Economics at New York University
Master of Science, Applied Mathematics, Master of Science, Applied Mathematics at Harvard University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Sam Fraiberger - AI Program Lead at NYU Computer Science