Rose Yu
Assistant Professor, University of California, San Diego, Khoury College Courtesy Appointment
Rose Yu
Assistant Professor, University of California, San Diego, Khoury College Courtesy Appointment
Assistant Professor, University of California, San Diego, Khoury College Courtesy Appointment
Assistant Professor, University of California, San Diego, Khoury College Courtesy Appointment
Assistant Professor, University of California, San Diego, Khoury College Courtesy Appointment
Assistant Professor, University of California, San Diego, Khoury College Courtesy Appointment
Rose Yu is an assistant professor in the Khoury College of Computer Sciences. She is also affiliated with Northeastern’s Department of Physics. Previously, she was a postdoctoral researcher at the California Institute of Technology’s Computing and Mathematical Sciences Department. She earned her PhD in computer science at the University of Southern California and was a visiting researcher at Stanford University.
Her research focuses on developing machine learning techniques for large-scale time series and spatiotemporal data. She is generally interested in the theory and applications of sequential decision making, optimization, and spatiotemporal modeling. Her work has been successfully applied to intelligent transportation, climate informatics, and social media anomaly detection. Among her awards, she was nominated as one of the 2015 “MIT Rising Stars in EECS.”
Rose Yu is an assistant professor in the Khoury College of Computer Sciences. She is also affiliated with Northeastern’s Department of Physics. Previously, she was a postdoctoral researcher at the California Institute of Technology’s Computing and Mathematical Sciences Department. She earned her PhD in computer science at the University of Southern California and was a visiting researcher at Stanford University.
Her research focuses on developing machine learning techniques for large-scale time series and spatiotemporal data. She is generally interested in the theory and applications of sequential decision making, optimization, and spatiotemporal modeling. Her work has been successfully applied to intelligent transportation, climate informatics, and social media anomaly detection. Among her awards, she was nominated as one of the 2015 “MIT Rising Stars in EECS.”