Qian Yang is a Ph.D. candidate at Carnegie Mellon’s HCI Institute and a 2017-2018 CMLH fellow at the Pittsburgh Health Data Alliance. She designs a variety of real-world machine learning applications: from data-driven clinical decision support systems, to context-aware mobile services, to natural language interactions. Building upon this related vein of design practice, her research creates design methods, design patterns, and prototyping toolkits that enable user experience (UX) designers to better create meaningful, achievable, and novel forms and functions of AI applications.
Prior to Carnegie Mellon, Yang worked aa a professional designer (2007-2014). She helped found the Design Trend Institute, jointly making it a nationally top-ranked design research service. She co-organized Insight Shanghai, the first and largest practitioner-facing design research conference in China. More than 100 Fortune-500 companies attended the conference during her tenure.
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