Xiaoying Pu

Xiaoying Pu is a user interface engineer based in Seattle, USA, currently developing machine learning tools at Apple. She earned a Ph.D. in Computer Science and Engineering from the University of Michigan under the guidance of Matthew Kay. Her research focuses on the field of information visualization, particularly its applications in uncertainty assessment and statistical communication. Her doctoral dissertation explored the integration of visualization grammars with the linguistic framework of data analysis tasks. Additionally, she has leveraged her research in practical domains such as climate change and renewable energy during internships at various national laboratories. Xiaoying Pu is also deeply interested in the application and enhancement of open science practices, employing diverse methodologies such as design, system building, participant experiments, and Bayesian statistical analysis in her projects.

• 2023 – Present·Apple·User Interface Engineer
  • Focused on building machine learning tools and driving product development in data visualization and human-centered design.

• Ph.D. Internships | National Laboratories | Research Intern

  • Applied information visualization techniques to address real-world challenges in climate change and renewable energy.

• 2018–2023·University of Michigan·Ph.D.
  • Specialization: Computer Science and Engineering, with a focus on information visualization and uncertainty assessment.
  • Advisor: Matthew Kay

• Undergraduate and Master's information not provided