Dr. Bei Wang - Assistant Professor of Computer Science
BackgroundBei Wang is an Assistant Professor of Computer Science at the University of Utah. She is part of the Center for Extreme Data Management Analysis and Visualization (CEDMAV). She did her Ph.D. in Computer Science at Duke University in 2010. She also obtained a certificate in Computational Biology and Bioinformatics at Duke University in 2010.
Current ResponsibilitiesDr. Wang's research is focused on creating novel techniques at the intersection of topological data analysis and visualization. Her research interests span both theoretical computer science (in particular, computational topology) and data-driven applications. Some of her current research activities draw inspirations from topology, geometry and machine learning, in studying: (a) High-dimensional data analysis and visualization, (b) Stratification learning, (c) Adaptive sampling, (d) Stability of dynamic systems.
Research InterestsDr. Wang is primarily interested in topological data analysis and visualization. Her research interests include: theoretical and algorithmic aspects in computational topology and computation geometry; foundations, techniques and applications for scientific data analysis and visualization; computational biology and bioinformatics; machine learning; and data mining. She has also worked on projects related to molecular modeling and simulation, as well as robotics.