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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