Yotam Yaniv

I am the 2024 Grace Hopper fellow in computing sciences at Lawrence Berkeley National Lab, advised by Professor Michael Mahoney. I am part of the Machine Learning & Analytics Group in the Scientific Data Division.

I am interested in the development and implementation of randomized numerical linear algebra methods for high performance computing. Additionally, I am interested in the development and application of machine learning methods for science.

Previously, I was at University of California, Los Angeles where I received a PhD in applied mathematics. My advisors were Professor Deanna Needell and Professor Andrea Bertozzi. I worked on problems in stochastic iterative optimization and matrix decompositions, dissertation. Before that, 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 first and second scientific posters. My pronouns are he/him.

Contact Information

• Email: yotamy is the username and lbl dot gov is the domain name

Publications

• Alex Sietsema, Zerrin Vural, James Chapman, Yotam Yaniv, Deanna Needell, "Stratified Non-Negative Tensor Factorization." (In preperation).
• Yotam Yaniv, Osman Asif Malik, Pieter Ghysels, Henry A. Boateng, Xiaoye S. Li, "Construction of hierarchically semi-separable matrix representation using adaptive Johnson-Lindenstrauss sketching." (Submitted)
• 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.
• Erin George, Yotam Yaniv, Deanna Needell, "Multi-Randomized Kaczmarz for Latent Class Regression." 56th Asilomar Conference on Signals, Systems, and Computers.
• Ben Jarman, Yotam Yaniv, Deanna Needell, "Online Signal Recovery via Heavy Ball Kaczmarz." 56th Asilomar Conference on Signals, Systems, and Computers.
• Yotam Yaniv, Jacob D. Moorman, William Swartworth, Thomas Tu, Daji Landis, Deanna Needell, "Selectable set randomized Kaczmarz." Numerical Linear Algebra with Applications (2022): e2458.
• David J. Arnold, Dayne Fernandez, Ruizhe Jia, Christian Parkinson, Deborah Tonne, Yotam Yaniv, Andrea L. Bertozzi, Stanley J. Osher, "Modeling environmental crime in protected areas using the level set method." SIAM Journal on Applied Mathematics 79, no. 3 (2019): 802-821. (poster) (poster)