Rose Yu

Guest Rose Yu is a computational physicist from UC San Diego, known for her groundbreaking work in AI, including traffic forecasting and pandemic modeling. In this engaging discussion, she reveals how AI could become a true partner in scientific discovery, generating novel hypotheses and enhancing modeling accuracy. Rose dives into the challenges of AI in academia, its potential to innovate beyond traditional methods, and even questions whether AI can experience emotions. This conversation is a fascinating look at the future of AI in science.

In this engaging discussion, Rose Yu, an assistant professor at UC San Diego, delves into her groundbreaking work on machine learning for spatiotemporal data. She explains how integrating physical principles and symmetry enhances neural network architectures. The conversation covers innovative approaches in climate modeling, including turbulent prediction and the application of Physics Guided AI. Rose also addresses uncertainty quantification in models, crucial for applications like COVID-19 forecasting, showcasing the importance of confidence in predictions.