Qian Yang is an assistant professor in information science. As a human-AI interaction researcher, she helps translate AI's algorithmic advances into valuable real-world applications that serve human ends. Yang has so far designed several high-consequence AI applications: from decision support systems for life-and-death healthcare decisions (i.e. artificial heart implants and cancer diagnoses) to context-aware mobile services, from Natural Language Generation systems to autonomous cars. Building upon this related vein of practice, she works to inform a basic understanding of AI as a material for HCI design. In addition, she innovates methods and tools for the UX design and HCI practicing communities, helping them to better integrate AI into their day-to-day practices. 
 

Yang completed her PhD in human-computer Interaction at Carnegie Mellon's School of Computer Science. She holds master's degrees in HCI from Carnegie Mellon University and in Design and Bachelor of Engineering in Industrial Design from Shanghai Jiaotong University. Before CMU, she worked in design consultancy and in the industry (2007-2014).