Scholar
Bei Wang Phillips (Publish Under Bei Wang)
Google Scholar ID: Tt0eBesAAAAJ
University of Utah
Citations & Impact
Citations
2,348
H-index
25
i10-index
57
Publications
20
Co-authors
36
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Awards received include: 2024 Presidential Early Career Award for Scientists and Engineers (PECASE), 2022 NSF CAREER award, 2020 DOE Early Career Research Program award. Paper awards: Honorable Mention Paper Award at IEEE Workshop on Topological Data Analysis and Visualization (TopoInVis), 2023; Visual Computer Cover of the Year 2023; Second Best Paper Award at Computer Graphics International (CGI), 2022. Lab members have also achieved significant accomplishments, such as Mingzhe Li receiving the Engineering Postdoctoral Fellowship from the University of Notre Dame (September 2025), Lin Yan winning the IEEE 2024 VGTC Visualization Dissertation Award (October 2024), and Youjia Zhou winning the Price College of Engineering Outstanding Dissertation for 2023 (May 2024).
Research Experience
- Current: Associate Professor, School of Computing, University of Utah (2022 - present); Faculty Member, Scientific Computing and Imaging (SCI) Institute, University of Utah (2016 - Present); Adjunct Associate Professor, Department of Mathematics, University of Utah (2022 - present). Former: Assistant Professor, School of Computing, University of Utah (2016 - 2022); Adjunct Assistant Professor, Department of Mathematics, University of Utah (2019 - 2022); Research Computer Scientist, Scientific Computing and Imaging Institute (SCI), University of Utah (2011 - 2016); Postdoctoral Fellow, Scientific Computing and Imaging Institute (SCI), University of Utah (2010 - 2011); Visiting Researcher, Institute of Science and Technology Austria (IST Austria) (Fall 2009).
Education
- Ph.D. in Computer Science, Duke University (2010), Advisor: Herbert Edelsbrunner; Certificate in Computational Biology and Bioinformatics, Duke University (2010); B.S. in Computer Science and Mathematics, Minor in Psychology, Summa Cum Laude, University of Bridgeport (2003).
Background
- Research Interests: Topological Data Analysis, Data Visualization, Computational Topology, Data Mining, and Machine Learning. Background: Dr. Bei Wang Phillips is an Associate Professor in the School of Computing, an Adjunct Associate Professor in the Department of Mathematics, and a faculty member of the Scientific Computing and Imaging (SCI) Institute at the University of Utah. Her research integrates topological, geometric, statistical, data mining, and machine learning methods with visualization to enable scientific discovery in large and complex datasets.
