As a visualization researcher, Wang created interactive visualization tools that enable humans to better interpret AI and generate insights from their data. Specifically, her research contributed interactive visualizations that explain AI models, and interaction mechanisms and algorithms that integrate real-time user feedback into AI models.
Ph.D. in Electronic and Computer Engineering, Hong Kong University of Science and Technology (2020) B.Eng. in Electronic Science and Technology, Xi’an Jiao Tong University (2015)
Qianwen Wang joined the Department of Computer Science & Engineering in fall 2023 as an assistant professor. She received her B.Eng. (2015) in electronic science and technology from Xi’an Jiao Tong University and her Ph.D. (2020) in electronic and computer engineering from Hong Kong University of Science and Technology. Prior to joining the University of Minnesota, Wang served as a post-doctoral researcher at Harvard University in the Department of Biomedical Informatics.