Scholar
Lawrence K. Saul
Google Scholar ID: Xy7pzxoAAAAJ
Senior Research Scientist, Flatiron Institute
Citations & Impact
Citations
15,436
H-index
35
i10-index
64
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- In October 2025, a paper on variational inference for uncertainty quantification was accepted to JMLR; in September 2025, two papers on variational inference with Feynman parameterizations and benchmarks for cosmological data analysis were accepted to NeurIPS; in May 2025, received the best paper award at AI-STATS conference; in March 2025, won the Flywire VNC Matching Challenge.
Research Experience
- Currently working at the Center for Computational Mathematics (CCM) at the Flatiron Institute, involved in machine learning research. Previously, he was a tenured faculty member at UC San Diego and UPenn, and a member of the technical staff at AT&T Labs.
Education
- Bachelor's degree in Physics from Harvard and a doctorate in Physics from M.I.T.
Background
- Senior Research Scientist, focusing on high-dimensional data analysis, latent variable modeling, variational inference, and representation learning. Previously, he was a tenured faculty member at UC San Diego and UPenn, and a member of the technical staff at AT&T Labs. He also served as Editor-in-Chief of the Journal of Machine Learning Research and as Program Chair of the Conference on Neural Information Processing Systems.
Miscellany
- Will be speaking at the Workshop on the Physics of John Hopfield: Learning and Intelligence at Princeton, the Workshop on Low-Rank Models and Applications at the University of Mons, and the Workshop on Geometric and Combinatorial Methods in the Foundations of CS and AI at Oxford.
Co-authors