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Rose Yu is an Associate Professor in the Department of Computer Science and Engineering at the University of California, San Diego Jacobs School of Engineering. She is a primary faculty member with the AI Group and is affiliated with the Halıcıoğlu Data Science Institute. She also serves as an Amazon Scholar. Yu earned her Ph.D. in computer science from the University of Southern California. Prior to joining UC San Diego in 2020, she was an assistant professor at Northeastern University in Boston. Before that, she was a postdoctoral scholar at the California Institute of Technology and a visiting researcher at Stanford University. She interned at IBM Research, Yahoo! Labs, Intel Lab, and Microsoft R&D.
Yu’s research focuses on machine learning, particularly for large-scale spatiotemporal data, with interests in optimization, deep learning, spatiotemporal reasoning, and the interplay between physics and machine learning. Her work has been applied to learning dynamical systems in sustainability, health, and physical sciences. She has received the Presidential Early Career Award for Scientists and Engineers (PECASE), DARPA Young Faculty Award, Army Early Career Award for Scientists and Engineers (ECASE), NSF CAREER Award, Hellman Fellowship, MIT Technology Review Innovators Under 35 in AI, and the 2025 Samsung AI Researcher of the Year award. She has also received faculty research awards from Sony, JP Morgan, Meta, Google, Amazon, and Adobe, as well as several best paper awards and the Best Dissertation Award from USC. Yu has delivered invited talks and keynotes at major conferences including NeurIPS, ICML, and ICLR, and has organized workshops and symposia on topics such as scientific machine learning and generative AI.
UC San Diego researchers unveil Zephyrus, an AI agent revolutionizing weather and climate data analysis with natural language queries, accelerating discoveries for students and scientists.
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