Prior to joining UCSD, she was Professor in the Computer Science and Engineering Department at the Ohio State University, where she also co-directed the Foundation of Data Science Research CoP at Translational Data Analytics Institute (TDAI)@OSU from 2018-2020. She obtained her PhD degree from Duke University in 2004, where she received the Best PhD Dissertation Award at the Computer Science Department. Between 2004-2005, she was a post-doctoral fellow at Stanford University. Yusu primarily works in geometric and topological data analysis, where she aims to tame the complexity of modern data by combining geometric ideas with machine learning methodologies. Yusu is a recipient of DOE Early Career Principal Investigator Award and NSF Career Award. She is on the Advisory Committee for AATRN, and the Computational Geometry Steering Committee. She also serves on SIGACT CATCS Committee, as well as on the editorial boards for several journals, including SIAM Journal on Computing (SICOMP).