Summary
Rose Yu is an associate professor and Amazon Scholar based in San Diego with a decade of experience at the intersection of machine learning research and real-world systems. She develops and advises on AI for complex, temporal, and multimodal problems—recently focusing on LLM agents and multimodal reasoning for Amazon Fulfillment Technology. Her academic trajectory spans a PhD in Machine Learning from USC, postdoctoral work at Caltech, and faculty roles at Northeastern and UC San Diego, where she holds tenure. Rose has bridged industry and academia through collaborations at Google Cloud AI, leading projects that improve explainability of time-series forecasting with graph methods for e-commerce. A believer in human-plus (H+) augmentation, she combines rigorous research with practical deployment, mentoring students and shaping applied AI pipelines. Her profile reflects a rare mix of theoretical depth and hands-on impact in production-scale AI for logistics and forecasting.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Machine Learning, Doctor of Philosophy (Ph.D.) Machine Learning at University of Southern California
Bachelor computer science, Bachelor computer science at Zhejiang University
English, Japanese, Chinese