Yuhua Zhu [CV]
E-mail: yuhuazhu@ucla.edu
Office: Math Science 8935
Welcome!
I am a tenure-track Assistant Professor at the Department of Statistics and Data Science, UCLA.
My research focuses on the interface between partial differential equations and machine learning. I am particularly interested in using differential equations to understand and design efficient reinforcement learning algorithms, nonconvex optimization algorithms and generative algorithms.
Group meeting: We hold our group meeting every Friday at 1:00 PM. If you’d like to join, feel free to reach out.
Data Theory Seminar: I'm organizing the Data Theory Seminar, which is held once per quarter.
Service
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Area Editor: Advances in continuous and discrete models: theory and applications, 2025.11 - present
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ICSA Membership Committee, 2026 - 2028
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ICSDS 2026 Committee
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EcoSta 2026 Committee
Education
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Stanford University
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Postdoc, 2019 - 2022. Mentor: Lexing Ying.
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University of Wisconsin-Madison
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Ph.D. Mathematics, 2019. Advisor: Shi Jin.
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M.S. Mathematics, 2015.
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Shanghai Jiao Tong University
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B.S. Mathematics, 2014.
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Research Interests
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Reinforcement Learning: Continuous-time Reinforcement Learning, Multi-armed bandits.
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Optimization: Gradient-free optimization inspired by particle systems, Asynchronous-SGD, Convergence analysis for SGD.
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Uncertainty Quantification in Kinetic Equations: Sensitivity analysis, Stochastic asymptotic preserving, High-dimensional uncertainty.