Xiuyuan Lu

Research Scientist at DeepMind

Palo Alto, California, United States
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Summary

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Senior
🎓
Top School
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.
code8 years of coding experience
bookBachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at Harvey Mudd College
bookDoctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at Stanford University
languagesChinese, Shanghainese, English
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Github Skills (6)

robot6
ros5
robotics5
dataset-generation4
chibios3
embedded1

Programming languages (2)

C++C

Github contributions (5)

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Sean0120/Modeler

Feb 2018 - Jan 2019

Contributions:20 commits in 11 months
Sean0120/impressionist

Feb 2018 - Jan 2019

Contributions:29 commits in 11 months
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Xiuyuan Lu - Research Scientist at DeepMind