Summary
Cooper Niu is an applied scientist and Physics PhD candidate at Brown University who builds large language models and AI agents that autonomously propose, test, and refine new physics theories, accelerating research that once took teams decades to minutes. With nine years of technical experience spanning cosmology, particle physics, and computational methods, he publishes in Physical Review D and JCAP and has a recent submission to Nature Physics. He combines deep domain knowledge of the mathematical parallels between the largest and smallest scales of the universe with practical ML engineering to run simulations, extract faint signals from telescopes, and discover new mathematical structure. Currently at Unseen AI, he translates research-grade AI into tools for scientific discovery, favoring problems that require discarding standard playbooks. Outside research, Cooper brings creative rigor from jazz piano and music theory to problem-solving and recharges through rock climbing and hiking. Based in Providence, he is interested in collaborations at the intersection of AI for science, quantum computing, and quantitative research.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Brown University
Bachelor of Science - BS, Physics and Philosophy, Bachelor of Science - BS, Physics and Philosophy at William & Mary
English, Chinese