People
MIDS Student
Improve data driven decision making in mobile advertising
PhD Student
computational social science and natural language processing
MIDS Student
As a student in the Master of Information and Data Science (MIDS) program at UC Berkeley, Ruiyu has focused on applying advanced data science methodologies to diverse domains, including finance, political data, and sustainability. Her work has included deep learning, time series analysis, and collaborative visualization projects, such as analyzing mental health sentiment and improving data center energy efficiency. Through the MIDS program, Ruiyu has honed her ability to design innovative, data-informed solutions that drive meaningful outcomes across various industries.
