Hello! I am Yue Guo, a PhD candidate in Mathematics at the National University of Singapore, advised by Qianxiao Li. My research sits at the intersection of scientific machine learning, numerical methods, and data-driven modeling, with a focus on efficient training pipelines and physics-informed approaches to improve predictive accuracy. Beyond academia, I have hands-on experience as a Data Scientist Intern at American Express, where I analyzed large-scale POS data for fraud patterns and built scalable models. I enjoy translating complex mathematics into practical ML solutions and collaborating with cross-functional teams to ship robust data-driven products.

Yue Guo

Hello! I am Yue Guo, a PhD candidate in Mathematics at the National University of Singapore, advised by Qianxiao Li. My research sits at the intersection of scientific machine learning, numerical methods, and data-driven modeling, with a focus on efficient training pipelines and physics-informed approaches to improve predictive accuracy. Beyond academia, I have hands-on experience as a Data Scientist Intern at American Express, where I analyzed large-scale POS data for fraud patterns and built scalable models. I enjoy translating complex mathematics into practical ML solutions and collaborating with cross-functional teams to ship robust data-driven products.

Available to hire

Hello! I am Yue Guo, a PhD candidate in Mathematics at the National University of Singapore, advised by Qianxiao Li. My research sits at the intersection of scientific machine learning, numerical methods, and data-driven modeling, with a focus on efficient training pipelines and physics-informed approaches to improve predictive accuracy.

Beyond academia, I have hands-on experience as a Data Scientist Intern at American Express, where I analyzed large-scale POS data for fraud patterns and built scalable models. I enjoy translating complex mathematics into practical ML solutions and collaborating with cross-functional teams to ship robust data-driven products.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Data Scientist Intern at American Express, Global Decision Science
May 1, 2025 - July 1, 2025
Analyzed historical point-of-sale transaction data to identify a specific fraud pattern, informing feature engineering from raw data for fraud detection models. Trained and evaluated ML models (XGBoost) on millions of POS transactions. Improved fraud capture rate while reducing false positives; collaborated with engineering teams.
Research Assistant at Dept of Mathematics, National University of Singapore
August 1, 2020 - August 1, 2021
Implemented physics-informed neural network architectures (OnsagerNet) and maintained Python codebases.
Data Scientist Intern at American Express, Global Decision Science, Singapore
May 1, 2025 - July 1, 2025
Analyzed historical POS transaction data to identify a specific fraud pattern, informing feature engineering from raw data for fraud detection models. Trained and evaluated ML models (XGBoost) on millions of POS transactions. Improved fraud capture rate while reducing false positives; collaborated with engineering teams. Tools: Python (PySpark, Scikit-learn), SQL, Google Cloud Platform (Cloud Storage, BigQuery).

Education

PhD in Mathematics at National University of Singapore
August 1, 2021 - February 1, 2026
MSc in Mathematics at National University of Singapore
August 1, 2019 - August 1, 2020
BSc in Pure and Applied Mathematics at Jilin University
September 1, 2015 - July 1, 2019
PhD in Mathematics at National University of Singapore
August 1, 2021 - February 1, 2026
MSc in Mathematics at National University of Singapore
August 1, 2019 - August 1, 2020
BSc in Pure and Applied Mathematics at Jilin University
September 1, 2015 - July 1, 2019

Qualifications

Add your qualifications or awards here.

Industry Experience

Education, Software & Internet, Professional Services, Other, Financial Services