Michael Xieyang Liu

Michael Xieyang Liu is currently a Senior Research Scientist at Google DeepMind, working in the PAIR (People + AI Research Initiative) team. His research focuses on Human-Computer Interaction and large multi-modal language models, covering areas such as tool development, model evaluation, controlled generation, and prototyping. He is dedicated to integrating human-centered approaches with system-building to enable users to more effectively utilize artificial intelligence in practical tasks. He earned his Ph.D. in Human-Computer Interaction from Carnegie Mellon University under the advisorship of Brad A. Myers and Niki Kittur. Throughout his academic career, he has published numerous papers and received multiple awards at top-tier conferences. His research not only emphasizes building interactive systems but also focuses on helping developers collect, organize, and understand online information.

• 2023 – Present·Google DeepMind·Senior Research Scientist
  • Specializes in Human-Computer Interaction research and practical applications of large language models, including controlled outputs, user-centered tool development, and AI prototyping.
• Internships | Microsoft Research, Google Cloud, Bosch Research
  • Participated in various research projects involving programming tools, computational intelligence, and user interface design.

• 2017–2023·Carnegie Mellon University·Ph.D.
  • Focused on Human-Computer Interaction research, specializing in programming support tools, knowledge acceleration, and intelligent user interfaces.
• Undergraduate | Carnegie Mellon University | Bachelor of Science
  • Major in Human-Computer Interaction, developed strong academic research and practical skills.