Summary
Tse-yu Lin is a Project Assistant Professor and mathematician with nine years of experience bridging theoretical optimization and practical engineering applications. He began in stochastic programming and portfolio selection, then spent two years as a mathematics consultant optimizing circuit designs at M31, where he implemented automated optimization algorithms. Currently his research focuses on discrete geometry and combinatorial Hodge theory, with ongoing side work on mixed-integer problems under semidefinite conditions using algebraic-geometric techniques. He teaches data science and Python-driven courses at NTU and has taught deep learning, NLP, and numerical mathematics across Taiwanese universities, bringing academic rigor to applied topics. A former visiting scholar at UC San Diego and PhD graduate from National Chengchi University, he combines deep theoretical training with hands-on algorithm design for real-world systems.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematical Sciences, Doctor of Philosophy - PhD, Mathematical Sciences at 國立政治大學
Visiting Scholar, Department of Mathematics, Visiting Scholar, Department of Mathematics at 美國加州大學聖地牙哥分校
Chinese, English, 俄文, Japanese