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Angelina Wang is an Assistant Professor in the Department of Information Science at Cornell Tech. Her research focuses on responsible artificial intelligence (AI), exploring the societal impacts of AI technologies and developing evaluation frameworks for AI systems that move beyond one-size-fits-all notions of fairness. Wang’s work has gained recognition through awards such as the National Science Foundation Graduate Research Fellowship Program (NSF GRFP), Rising Stars, and the Siebel Scholarship, as well as the Microsoft AI & Society Fellowship. Her research has been featured in prominent media outlets including MIT Technology Review, Vice, Washington Post, New Scientist, and Tech Brew. Wang has contributed to leading journals such as PNAS and Nature Machine Intelligence and has presented her work in respected conferences and workshops in responsible computing and machine learning. Previously, she served as a postdoctoral researcher at Stanford University and earned her Ph.D. in Computer Science from Princeton University, and a B.S. in Electrical Engineering and Computer Science from the University of California, Berkeley.
Stanford University • Stanford
Conducted research on artificial intelligence and its societal implications.
Department of Architecture