Yotam Yaniv

I am a Software Engineer at Google working on YouTube.

Previously, I was the 2024 Grace Hopper fellow in computing sciences at Lawrence Berkeley National Lab. I was part of the Machine Learning & Analytics Group in the Scientific Data Division, focusing on randomized numerical linear algebra for high-performance computing and machine learning for science.

Before that, I received my PhD in applied mathematics from the University of California, Los Angeles. My advisors were Professor Deanna Needell and Professor Andrea Bertozzi. I worked on problems in stochastic iterative optimization and matrix decompositions (dissertation).

I completed my undergraduate studies at the University of Maryland, College Park, graduating with a dual degree in mathematics (with high honors) and computer science (with honors). My pronouns are he/him.

Contact Information

• Email: yotamy is the username, and ucla dot edu is the domain name
• LinkedIn
• Google Scholar

Selected Publications

• Yotam Yaniv, Pieter Ghysels, Osman Asif Malik, Henry A. Boateng, Xiaoye S. Li, "Construction of hierarchically semiseparable matrix representation using adaptive Johnson-Lindenstrauss sketching." Communications in Applied Mathematics and Computational Science 20, no. 1 (2025): 67-117.
• Yotam Yaniv, "Kaczmarz Methods and Structured Matrix Decompositions." Diss. UCLA, 2024.
• James Chapman, Yotam Yaniv, Deanna Needell, "Stratified NMF for Heterogeneous Data." 2023 57th Asilomar Conference on Signals, Systems, and Computers, 614-618.
• Yotam Yaniv, Jacob D. Moorman, William Swartworth, Thomas Tu, Daji Landis, Deanna Needell, "Selectable set randomized Kaczmarz." Numerical Linear Algebra with Applications (2022): e2458.