We are proud to announce that Rose Yu, an Assistant Professor at the University of California, San Diego and faculty member at the Halıcıoğlu Data Science Institute (HDSI), has been named one of MIT Technology Review’s Innovators Under 35 for 2024. Rose Yu is recognized for her groundbreaking work in the field of artificial intelligence, particularly in physics-guided deep learning.

Yu’s innovative approach integrates the fundamental laws of physics into AI systems, resulting in models that produce real-world applicable outcomes. By partnering with scientists across various fields, Yu develops models that adhere to physical laws, ensuring that AI-generated solutions are not only accurate but also realistic.

Her research has already had substantial impacts across various domains. While at Caltech, Yu developed a model that improved traffic forecasts for Los Angeles, which was later deployed in Google Maps. During the COVID-19 pandemic, her team’s work on projecting U.S. COVID-19 deaths was utilized by the CDC to inform their algorithms. Additionally, her recent work in climate science has enhanced the resolution of climate models, speeding up simulations related to critical phenomena like hurricanes and El Niño.

Yu’s current projects include a three-year partnership with General Atomics to model plasma interactions within nuclear reactors, showcasing her dedication to solving some of the world’s most pressing scientific challenges through the use of advanced AI techniques.

Rose Yu’s recognition by MIT Technology Review underscores the significant contributions she is making to both AI and applied sciences. We congratulate her on this well-deserved honor and look forward to the continued impact of her work.

To learn more about Rose Yu’s work, you can read the full MIT Technology Review feature here.