About Me
I am a PhD candidate in Mathematics, National University of Singapore (NUS), supervised by Li Qianxiao.
I graduated with a BSc in Pure and Applied Mathematics, Jilin University and an MSc in Mathematics, National University of Singapore.
My research areas include machine learning and dynamical systems, particularly focusing on applying neural networks to improve numerical algorithms and integrating Koopman operators with control systems for forward predictions and inverse problems.
Education
PhD in Mathematics
National University of Singapore, Singapore
Aug 2021 - Present
Master of Science in Mathematics
National University of Singapore, Singapore
Aug 2019 - Aug 2020
Bachelor of Science in Pure and Applied Mathematics
Jilin University, China
Sep 2015 - Jun 2019
Experience
Research Assistant
Department of Mathematics, National University of Singapore, Singapore
Aug 2020 - Aug 2021
- Maintained and developed the code repository for OnsagerNet model.
- Contributed to a collaborative project to compare mathematical models for weather prediction.
Data Scientist Intern
American Express, Singapore
May - July 2025
- Developed machine learning models for fraud detection and customer segmentation.
- Analyzed large-scale transaction data to identify patterns and trends.
Publications & Preprints
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Yue Guo Learning Parametric Koopman Decompositions for Prediction and Control (SIAM Journal on Applied Dynamical Systems).
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Yue Guo A recursively recurrent neural network (R2N2) architecture for learning iterative algorithms (SIAM Journal on Scientific Computing).
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Yue Guo Personalized Algorithm Generation: A Case Study in Learning ODE Integrators (SIAM Journal on Scientific Computing).
Curriculum Vitae
Download my full CV for more details about my academic background, research, and experience.
Download CV (PDF)