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

  • Yue Guo, Milan Korda, Ioannis G Kevrekidis, Qianxiao Li (2025). Learning Parametric Koopman Decompositions for Prediction and Control (SIAM Journal on Applied Dynamical Systems).

  • Danimir T Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G Kevrekidis (2024). A recursively recurrent neural network (R2N2) architecture for learning iterative algorithms (SIAM Journal on Scientific Computing).

  • Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T Doncevic, Manuel Dahmen, Ioannis G Kevrekidis, Qianxiao Li (2022). 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)