Summary
Derek Xu is a research scientist and PhD candidate in Computer Science at UCLA with nine years of industry and research experience spanning deep learning, graph representation learning, generative models, and reinforcement learning. He has interned and worked across leading AI teams at Meta, AWS, and Uber AI, contributing to projects from self-supervised speech encoders and in-context learning for tabular data to time-series foundation models and ads click-through optimization. Derek blends theoretical research with production-minded applied science, evident from papers and system-focused internships (e.g., JPL tooling and embedded firmware earlier in his career). Based in Los Angeles, he moves fluidly between academic research and large-scale engineering problems, often applying information-theoretic and representation learning techniques to real-world product challenges. An under-the-radar strength is his breadth across low-level embedded systems up to large-model applied research, enabling pragmatic solutions that bridge hardware, algorithms, and production systems.
9 years of coding experience
3 years of employment as a software developer
Torrey Pines High School
University of California, Los Angeles