Serina Chang is an Assistant Professor at UC Berkeley, jointly appointed in Computer Science and Computational Precision Health and affiliated with Berkeley AI Research. Her research focuses on human-centered AI, human-AI interaction, graphs and networks, public health, and computational social science. Previously, she was a postdoctoral researcher at Microsoft Research and earned a PhD in Computer Science from Stanford University.
Serina Chang is an Assistant Professor at UC Berkeley, jointly appointed in Computer Science and Computational Precision Health and affiliated with Berkeley AI Research. Her research focuses on human-centered AI, human-AI interaction, graphs and networks, public health, and computational social science. Previously, she was a postdoctoral researcher at Microsoft Research and earned a PhD in Computer Science from Stanford University.
Career
Serina Chang studied at Stanford University (Ph.D. in Computer Science) and Columbia University (B.A. in Computer Science; Sociology concentration, magna cum laude).