Byeong Ho Bahn

Byeong Ho Bahn is a Lecturer and Ph.D. candidate in Mathematics at the University of Massachusetts Amherst (UMass Amherst). He holds an M.S. in Mathematics from Texas Tech University (2018) and an M.S. in Computer Science from UMass Amherst (2025). His research focuses on mathematical analysis of partial differential equations (PDEs), stochastic PDEs, machine learning (especially neural networks), and optimization. He actively contributes to interdisciplinary projects, including applying machine learning methods to eigenvalue problems in PDEs, as seen in his GitHub repositories.

His academic work includes studies on parametric analyticity in semilinear eigenvalue problems and holomorphy in elliptic eigenvalue contexts. While no formal awards are listed, his involvement in teaching and research at UMass highlights his contributions to the academic community. His GitHub portfolio showcases projects such as the Gross-Pitaevskii Eigenvalue Problem and Kaggle data science initiatives, reflecting his technical and collaborative skills.

Byeong Ho Bahn is affiliated with the Department of Mathematics and Statistics at UMass Amherst, where he balances teaching, research, and interdisciplinary collaboration.