Summary
Xiaoyi Gu is a research scientist at Amazon with 12 years of experience focused on anomaly detection and nonparametric density estimation, bringing deep expertise in high-dimensional statistics and statistical machine learning. He holds a PhD in Statistics from Carnegie Mellon and a BS in Applied Mathematics (Honors) from UCLA, combining rigorous theory with applied research. At Amazon he applies probabilistic methods to real-world data problems, translating advanced statistical ideas into scalable solutions. Colleagues describe him as someone who bridges mathematical depth and engineering pragmatism, often surfacing subtle distributional insights that improve detection robustness. Based in Seattle, he blends academic rigor with industry impact, frequently exploring nonparametric approaches that perform well in high-dimensional, noisy settings.
12 years of coding experience
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Carnegie Mellon University
Bachelor's degree, Applied Mathematics, Honors, Bachelor's degree, Applied Mathematics, Honors at University of California, Los Angeles