I am a fifth year graduate student at the University of California, Los Angeles pursuing a PhD in applied mathematics.
My advisors are Professor Deanna Needell and Professor Andrea Bertozzi.
I was awarded the dissertation year fellowship for the 23-24 school year! I advanced to candidacy in May 2022!
I am interested in research projects at the intersection of mathematics and computer science. I work on stochastic iterative algorithms, numerical linear algebra, and machine learning problems.
My goal is to apply mathematical techniques and develop algorithms that have a positive impact on the world.
During the summer of 2023 I am interning at Lawrence Berkeley National Lab with Xiaoye Sherry Li in the scalable solvers group.
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: yotamya@math.ucla.edu
Office: MS 6161
Teaching
I strive to make the classroom a welcoming and accessible environment for students of all backgrounds.
Spring 2023 - MATH142 section 1A and 1B
Spring 2023 - PIC10A section 1E
Winter 2023 - PIC16A section 4B
Fall 2021 - PIC10A section 3A
Winter 2021 - PIC20A section 1A
Winter 2021 - PIC10A section 4C
Fall 2020 - PIC10A section 5B
Fall 2020 - PIC10A section 5A
Publications and Presentations
James Chapman, Yotam Yaniv, Deanna Needell, "Stratified NMF for Heterogeneous Data." (submitted)
Yotam Yaniv, Jacob D. Moorman, William Swartworth, Thomas Tu, Daji Landis, Deanna Needell, "Selectable set randomized Kaczmarz." Numerical Linear Algebra with Applications (2022): e2458.
