Angelina Wang

Angelina Wang is an assistant professor of information science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science. Her research is in the area of responsible AI.

Wang’s research has addressed topics such as the societal impacts of AI; evaluation of AI systems; and how to move beyond one-size-fits-all, mathematically convenient notions of fairness.

Wang has been recognized by the NSF GRFP, the EECS Rising Stars, the Siebel Scholarship, and the Microsoft AI & Society Fellowship. Her work has been featured in a number of news outlets, including the MIT Technology Review, Vice, Washington Post, New Scientist, and Tech Brew.

Wang publishes in top journals (PNAS, Nature Machine Intelligence) as well as responsible computing (FAccT, AIES) and machine learning (ICML, ACL, ICCV) venues. Previously she was a postdoctoral researcher at Stanford University, having earned her Ph.D. in computer science from Princeton University and her B.S. in electrical engineering and computer science from the University of California, Berkeley.