Scholar
Oscar Leong
Google Scholar ID: LN9O4vkAAAAJ
Assistant Professor of Statistics and Data Science, UCLA
Citations & Impact
Citations
490
H-index
8
i10-index
6
Publications
20
Co-authors
25
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers, including 'Learning generative models from corrupted data' and 'Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation'; received academic achievements such as an oral presentation at NeurIPS 2018 (only 0.6% of submissions).
Research Experience
- Currently an Assistant Professor in the Department of Statistics and Data Science at UCLA; previously a von Kármán Instructor at Caltech in the Computing + Mathematical Sciences department, hosted by Venkat Chandrasekaran, and worked closely with Katie Bouman and the Computational Cameras group.
Education
- PhD in Computational and Applied Mathematics from Rice University, supervised by Paul Hand; undergraduate degree in Mathematics from Swarthmore College.
Background
- Research interests lie in the mathematics of data science, inverse problems, machine learning, and optimization. Much of his work concerns solving signal recovery problems with approaches inspired by deep learning and uses tools from high dimensional probability, convex and star geometry, random matrix theory, and optimization to develop provable recovery guarantees.
Miscellany
- Family includes wife Wani, who is in developmental psychology; daughter Gemma was born in May 2023.
