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I am a Human-Computer Interaction researcher and Assistant Professor in the Department of Information Science at Cornell University. My expertise lies in machine intelligence as a material for user experience (UX) design. I am interested in understanding emergent AI capabilities, the new interaction design opportunities they offer, as well as methods to tame them in service of human ends.  Most often I investigate these questions in the process of designing real-world human-AI interactions; an approach called Research through Design.  My team designs a wide range of AI things: from clinical decision support systems (risk modeling, computer vision for medical imaging, biomedical NLP) to human collaborative writing with large language models, from accessible conversational agents to culturally adaptive autonomous cars. 
Pronounce my first name: Chee-an.
I mentor students from both Cornell's Information Science and Computer Science programs.  My team's work has been supported by the NSF, The President's Council of Cornell Women (PCCW), Cornell Institute for Digital AgricultureCornell Center for Social Sciences (CCSS), as well as Microsoft Azure.
I received my Ph.D. from Carnegie Mellon's School of Computer Science, where I am advised by Prof. John Zimmerman (HCI) and Prof. Aaron Steinfeld (Robotics). Before CMU, I worked in design consultancy and in the industry (2007-2014). 
I pride myself on the diversity of my academic interests and degrees: I hold an M.S. in HCI from Carnegie Mellon University, an M.A in Design, a B.Eng in Industrial Design, and a B.BS in Business Administration from Shanghai Jiaotong University. 
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