Summary
Roy Rinberg is a PhD candidate at Harvard specializing in privacy and trustworthy machine learning, advised by Salil Vadhan, with 11 years of software and research experience spanning industry and academia. He has built production-grade systems at startups and enterprises—leading core AWS infrastructure at a fintech startup and developing C++/Python safety software for lidar at Ouster—while pursuing research that relaxes distributional and trust assumptions in private ML. His work bridges theory and practice, from GPU-accelerated image stitching and underwater acoustic systems to policy-aware privacy research explored during his Columbia MS. Based in Cambridge, MA, Roy also contributes public writing on privacy and trustworthy computing and uniquely combines hands-on security engineering experience with deep technical research into algorithmic trust.
10 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at New York University
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Harvard University
Thomas Jefferson High School for Science and Technology
Masters of Science, Computer Science, Masters of Science, Computer Science at Columbia University