Sam Adam-day is an AI safety and mathematics researcher turned Member of Technical Staff at FAR.AI, bringing 11 years of technical experience and a PhD in Mathematics from the University of Oxford. He has led hands-on research projects on multi-agent safety funded by OpenAI SuperAlignment Fast Grants and the Long-Term Future Fund, and built production-scale active learning experiments on GPT-2 using PyTorch and cloud infrastructure. Comfortable bridging deep theory and engineering, Sam combines formal logic training (MSc Logic, University of Amsterdam) with practical machine learning experimentation and deployment. His work emphasizes mitigating long-term risks from advanced AI systems while communicating complex ideas clearly to diverse stakeholders. Based in Berkeley, he pairs academic rigor with startup-style execution and a track record of independent research and software development. An understated strength is his ability to translate mathematical insight into reproducible, production-ready code for safety-critical ML experiments.
11 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy - PhD Mathematics, Doctor of Philosophy - PhD Mathematics at University of Oxford
Master of Science - MS Logic, Master of Science - MS Logic at University of Amsterdam
Contributions:3 PRs, 52 pushes, 15 branches in 1 month
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Sam Adam-day - Member Of Technical Staff at FAR.AI