Angelina Wang is an incoming Assistant Professor at Cornell Tech and in the Department of Information Science at Cornell University. Her research is in the area of machine learning fairness and algorithmic bias. She has been recognized by the National Science Foundation Graduate Research Fellowship and the Rising Stars in Electrical Engineering and Computer Sciences (EECS) programs and has received a Siebel Scholarship as well as a Microsoft AI and Society Fellowship. She publishes in top machine learning (ICML, AAAI), computer vision (ICCV, IJCV), interdisciplinary (Big Data & Society), and responsible computing (FAccT, AIES) venues, including spotlight and oral presentations. She is currently a postdoc at Stanford University. She 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.