معرفی
Rose Yu is an Associate Professor in the Department of Computer Science and Engineering at the University of California, San Diego. She serves as a primary faculty member with the AI Group and is affiliated with the Halıcıoğlu Data Science Institute. Previously, she was a faculty member at Northeastern University where she taught advanced machine learning courses.
Her research focuses on machine learning for large-scale spatiotemporal data, with particular emphasis on AI for scientific discovery. She develops physics-guided deep learning models that integrate physical principles with neural networks, with applications spanning climate science, healthcare, and dynamical systems. Her work on symmetry in neural networks has led to significant advances in model generalization and optimization.
Dr. Yu's recent publications demonstrate a strong trend toward grounding large language models with physical laws, developing symmetry-aware learning frameworks, and applying AI to climate science. Her work bridges theoretical advances in machine learning with practical applications in scientific domains, particularly in spatiotemporal forecasting and scientific discovery.
Major Awards and Honors:
- Presidential Early Career Award for Scientists and Engineers (PECASE)
- DARPA Young Faculty Award
- NSF CAREER Award
- MIT Technology Review Innovators Under 35
- Hellman Fellowship
- Multiple faculty awards from major tech companies (Google, Amazon, Meta, etc.)
Dr. Yu actively mentors PhD students, postdocs, and undergraduate researchers, with many of her former students now holding positions at leading institutions and companies. She serves as program chair for major conferences including ICLR 2025 and has received substantial research funding from agencies including DARPA, NSF, DOE, and CDC.
Her research group develops tools for scientific machine learning, with particular focus on climate informatics, symmetry-aware learning, and physics-integrated AI systems.
