Qian Yang

Greater Pittsburgh Area, PA United States

PhD researcher at HCII Carnegie Mellon

Design

I am a Ph.D. student in Human-computer Interaction at Carnegie Mellon University. I design machine-learning-powered user experience (UX) for real-world, high-consequence applications: from data-driven clinical decision support systems to context-aware mobile services, to autonomous cars. Reflecting on this related vein of practice and research, I develop toolkits for UX practitioners to better ideate feasible, meaningful and creative AI-enhanced user experiences. Before CMU, I worked in design consultancy and in the industry from 2007-2014. My research developed aesthetic, behavioral, and societal insights and shaped design strategies for many Fortune500 companies across industries.