Dakuo Wang  Dakuo Wang photo         

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Research Staff Member - Human-Computer Interaction
IBM Research AI & MIT-IBM Watson AI Lab, Cambridge, MA USA
  

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Professional Associations:  ACM  |  ACM SIGCHI  |  IEEE

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Dakuo Wang is a Research Team Lead at IBM Research AI, based in Cambridge Massachusetts. His research lies in the intersection between human-computer interaction (HCI) and artificial intelligence (AI). He is now leading a team of researchers, engineers, and designers to conduct research and design user experience for IBM AutoAI, a solution to automate the end-to-end machine learning pipeline. Outside his IBM work, Dakuo is also interested in how people work with real-world AI applications, such as conversational agents (Chatbots), and clinical decision support systems (CDSS), and he collaborates with various universities to study it. He proposes “Human-AI Collaboration” as a new framework to study and design AI systems to work together with humans.

Before joining IBM Research, Dakuo Wang got his Ph.D. and M.S. in Information and Computer Science from the University of California Irvine, a Diplôme d’Ingénieur (M.S.) in Information System from École Centrale d’Électronique Paris, and a B.S. in Computer Science from Beijing University of Technology. He has worked as an engineer, designer, and researcher in France, China, and the United States.

Dakuo Wang now serves in ACM SIGCHI China Chapter as a Vice-President, and International Chinese Association of CHI (ICACHI) steering committee 2018-2022, as well as in Program Committee for various SIGCHI-sponsored conferences. ACM has recognized Dakuo Wang as an ACM Distinguished Speaker in 2019.

Google Scholar tracks publications better than I do. My CV is Here.