Summary
Kewang Chen is a postdoctoral researcher and applied mathematician with eight years of experience bridging academic research and data-driven engineering. Based in Delft, he holds a PhD in Applied Mathematics from the University of Vermont and combines rigorous mathematical modeling with practical data analysis across academia and industry. His work spans postdoctoral research at TU Delft, an assistant professorship, teaching calculus and algebra, and applied internships that produced production-ready analytics such as patient distribution heatmaps and drug pricing forecasts. He has hands-on experience with machine learning projects including image clustering, neural networks, and community detection from intensive programs and industry collaborations. Comfortable collaborating with software engineers, he translates complex quantitative problems into cloud-capable tools and visualizations. He brings a blend of pedagogy, research depth, and applied analytics that surfaces non-obvious insights from noisy, real-world data.
8 years of coding experience
Doctor of Philosophy - PhD, Applied Mathematics, 3.88/4.00, Doctor of Philosophy - PhD, Applied Mathematics, 3.88/4.00 at University of Vermont