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Qian Yang
Assistant professor in Information Science at Cornell
Faculty field member at  Computer Science

Ph.D. from Carnegie Mellon University (w/ SIGCHI outstanding dissertation)
M.Des, B.Eng, and B.BA from Shanghai Jiao Tong University
I am a human-AI interaction designer and researcher. My research goal is to better understand how to bring human-centered thinking to bear on evermore complex AI systems and create interactive tools that make such AI more accessible for human-centered design innovation. Recently, my group has been particularly interested in two types of AI: natural language generation systems (how to make NLG more useful to journalists, scientists, and beyond?) and clinical decision support systems (how to make pervasive clinical AI more useful to clinicians and integrated with clinical work?). Our work is supported by the NSF, Schmidt Futures, Weill Cornell Medicine, The President's Council of Cornell Women (PCCW), Cornell Institute for Digital AgricultureCornell Center for Social Sciences (CCSS), among others. 
I mentor students both in Information Science and Computer Science.  Cornell students interested in joining us: I am always looking for the right students to join ongoing research projects.  You can learn more about these projects here.
We are hiring 1-2 Cornell CS undergraduate/Master-level research assistants to together innovate interactions around large language models. We are also hiring a qualitative UX student researcher (Lowerclassmen are preferred for this position). If interested, please email me (qian yang at Cornell dot edu) your CV and related experiences and interests, and include [Undergrad/Master RA] in the email title. These positions start in Jan 2023.
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