Scholar
Luana Ruiz
Google Scholar ID: SWVeT4AAAAAJ
Assistant Professor, Department of Applied Mathematics and Statistics, Johns Hopkins University
Citations & Impact
Citations
1,232
H-index
16
i10-index
20
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Published several papers, including 'Local Distance-Preserving Node Embeddings and Their Performance on Random Graphs', 'Improved Image Classification with Manifold Neural Networks', 'A Generative Model for Controllable Feature Homophily in Graphs', and more.
Research Experience
- Former METEOR and FODSI postdoctoral fellow at MIT, working with Prof. Stefanie Jegelka; former Google Research Fellow at the Simons Institute for the Theory of Computing.
Education
- PhD from the Electrical and Systems Engineering Department at Penn, advised by Prof. Alejandro Ribeiro.
Background
- Assistant Professor in the Department of Applied Mathematics and Statistics at Johns Hopkins University, with research interests in machine learning, signal processing, and network science, focusing on developing scalable algorithms for learning on non-Euclidean domains such as graphs and data manifolds. Also interested in physics-informed machine learning, manifold learning, and combinatorial optimization.
Co-authors