Office: MS 7354
Email: zerrin (dot) vural (at) ucla (dot) edu
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Zerrin Vural
Zerrin Vural
UCLA Graduate Student
Applied Mathematics
Welcome!
I am a Ph.D. candidate in applied mathematics at UCLA, where I'm advised by Professor Deanna Needell. I am interested in mathematical data science, particularly in developing and analyzing interpretable machine learning methods. My research focuses on matrix and tensor methods and fairness in machine learning algorithms.
Previously, I earned a B.S in Mathematics, B.S. in Physics, and a B.A. in Plan II Honors Liberal Arts from The University of Texas at Austin. I was advised by Professor José Alvarado and Philip Morrison.
I also jointly organize the UCLA Women in Math group, where I help run the Women in Math Mentorship Program and coordinate events for departmental students and postdocs.
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Research
Research
Fairness in Matrix Completion Zerrin Vural, Minxin Zhang, Deanna Needell. 2026 In preparation.
Stratified Non-Negative Tensor Factorization Alex Sietsema, Zerrin Vural, James Chapman, Yotam Yaniv, Deanna Needell. 2024 Asilomar.
Integrability Technique for Fluid Flow Induced Deformation of a Boundary Hair Jonas Smucker, Zerrin Vural, José R. Alvarado, Philip J. Morrison. 2022 Physical Review Fluids.
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Teaching
Teaching
UCLA - Teaching Assistant
Introduction to Probability and Statistics: Part 2 Statistics - M170S: Winter 2026
Calculus of Several Variables - 32B: Fall 2025
Optimization - 164: Spring 2024, Winter 2025, Spring 2025, Spring 2026
Applied Numerical Methods - 151B: Fall 2024, Winter 2024
Applied Numerical Methods - 151A: Winter 2024, Spring 2024
Linear Algebra and Applications - 33A: Summer 2023
Calculus of Several Variables - 32A: Spring 2023
Differential and Integral Calculus - 31B: Fall 2022
Integration and Infinite Series - 31A: Fall 2022, Winter 2023
UT Austin - Teaching Assistant
Differential and Integral Calculus for Business: Fall 2020
Introduction to Mathematics: Fall 2019
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CV
CV
You can find my CV here:
CV_Zerrin-10.pdf.
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