Dr. Yu is an Assistant Professor in the Khoury College of Computer Sciences at Northeastern University. Previously, she was a postdoctoral researcher in Caltech Computing and Mathematical Sciences. She earned her Ph.D. in Computer Sciences at the University of Southern California and was a visiting researcher at Stanford University. Her research focuses on developing physics-guided machine learning techniques, especially for large-scale spatiotemporal data. She is generally interested in the theory and applications of deep learning, tensor optimization, and spatiotemporal modeling. Her work has been successfully applied to intelligent transportation, climate informatics, network science, and aerospace control. Among her awards, she has won the best dissertation award in USC computer science, best paper award at NeurIPS time series workshop, and was nominated as one of the “MIT Rising Stars in EECS’.