Bei Wang

Bei Wang is an instructor in the Department of Computer Science at the University of Utah, School of Computing. She teaches CS 6210: Advanced Scientific Computing I, focusing on numerical methods and algorithms for scientific computing. Her research interests span topological data analysis, scientific visualization, and algorithm design for data compression and analysis. She contributes to the Computational Engineering and Science (CES) program, supporting interdisciplinary scientific computing education. Her work emphasizes integrating topology into computational frameworks and advancing visualization techniques for complex scientific data.

• Education: Not explicitly stated in the provided materials.
• Research Focus: Numerical algorithms, topological methods, and visualization tools for scientific computing.

Her recent articles explore topics such as lossy compression with topological guarantees, harmonic chain analysis, and uncertainty-driven visualization. These contributions highlight her expertise in merging computational efficiency with topological rigor. She actively participates in academic initiatives like the CES program, fostering collaboration in scientific computing education and research.

Bei Wang’s academic contributions include developing algorithms for topological data structures and enhancing visualization techniques for fluid dynamics and astronomical data. Her work bridges theoretical foundations and practical applications, advancing the analysis of complex datasets in multiple domains.