Ziang Xiao is an assistant professor in Johns Hopkins Department of Computer Science and a postdoctoral researcher in the Fairness, Accountability, Transparency, and Ethics group at Microsoft Research Montréal. He completed his PhD in Computer Science at the University of Illinois Urbana-Champaign.
Xiao’s research is motivated by the fundamental question of understanding humans at scale, e.g., how could we conduct robust and generalizable studies about human behavior? The goal of his work is to enhance human-AI interaction to expand our knowledge about ourselves. Through this research, Xiao aims to create a more connected research community and democratize novel technologies to operationalize intuitions and curiosities about how we think and behave.
Other research topics of his include information seeking, behavioral change, online spaces, and human cognitive skills. Broadly, his work lies in the intersection of human computer interaction, natural language processing, and social and personality psychology.
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New faculty join the department, with research areas ranging from human-centered artificial intelligence and machine learning to natural language processing and computer networking.
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Concerned by recent trends in natural language processing research, Hopkins computer scientists emphasize the importance of user-centric evaluation methods and contextual awareness.