Summary
Xiuyuan Lu is a research scientist at DeepMind and a PhD candidate in Operations Research at Stanford, specializing in sequential decision making, reinforcement learning, and multi-armed bandits. With eight years of research experience and internships at DeepMind, Adobe, and AOL, she applies rigorous theoretical foundations from a BS in Mathematics and Computer Science (Harvey Mudd) to practical, large-scale ML problems. Advised by Benjamin Van Roy, her work bridges formal decision theory and empirical algorithm development, contributing to production-oriented research at one of the leading AI labs. Based in Palo Alto, she brings a blend of academic depth and industry impact, with a background that signals strong mathematical instincts and systems-level thinking.
8 years of coding experience
Bachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at Harvey Mudd College
Doctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at Stanford University
Chinese, Shanghainese, English