Ph.D. in Computing, University of Utah
(2018 - Present)
M.S. in Statistics, University of Wisconsin-Madison
B.S. in Statistics, Renmin University of China
I am interested in data analysis and data visualization.
My research focuses on developing visual analytics systems for large and complex data, in particular, networks, high-dimensional point clouds, and vector/tensor fields.
My work couples interactive visual representations with topology-based analytical processes for sense-making. Most of my research projects are collaborative and interdisciplinary, where the resulting visual analytics systems are being applied to solve problems in biochemistry, bioengineering, applied and computational topology, network science, to name a few.
My vision is to build practical visual analytics systems that help scientists and mathematicians with their knowledge discovery process.
Invited Talk: Design and Visualization of Morse Vector Fields.
SIAM CSE Minisymposium: Emerging Directions in Computational Topology, 2021.
Gazing Into the Metaboverse: Automated Exploration and Contextualization of Metabolic Data.
Jordan A. Berg, Youjia Zhou, T. Cameron Waller, Yeyun Ouyang, Sara M. Nowinski, Tyler Van Ry, Ian George, James E. Cox, Bei Wang, Jared Rutter.
Pheno-Mapper: An Interactive Toolbox for the Visual Exploration of Phenomics Data.
Youjia Zhou, Methun Kamruzzaman, Patrick Schnable, Bala Krishnamoorthy, Ananth Kalyanaraman, Bei Wang.
Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB)
, Article No. 20, pages 1-10, 2021.