BEI WANG PHILLIPS

Dr. Bei Wang Phillips, who publishes under the name Bei Wang, is an Associate Professor in the School of Computing and a faculty member of the Scientific Computing and Imaging (SCI) Institute at the University of Utah. She earned her Ph.D. in Computer Science from Duke University. Her research spans topological data analysis, data visualization, and computational topology, integrating techniques from topology, geometry, statistics, data mining, machine learning, and visualization to analyze large, complex datasets for information exploration and scientific discovery. Her current research includes the analysis and visualization of high-dimensional point clouds, scalar, vector, and tensor fields, networks, and multivariate ensembles. Her work has been supported by multiple awards from the National Science Foundation (NSF), National Institutes of Health (NIH), and U.S. Department of Energy (DOE). Dr. Phillips received a DOE Early Career Research Program Award in 2020 and an NSF CAREER Award in 2022. Dr. Phillips received the 2024 Presidential Early Career Award for Scientists and Engineers (PECASE) Award by President Biden, the highest honor bestowed by the U.S. government on early-career scientists and engineers.