Amanda M Swearngin

Amanda Swearngin is a researcher specializing in Human-Computer Interaction and User Interface Design, currently a Principal Researcher at Microsoft Research. Her research interests include Computational UI Understanding, Accessibility Design, and leveraging Artificial Intelligence to enhance user experiences. Throughout her career, she has participated in numerous interdisciplinary research projects and developed many innovative tools, such as Screen Recognition and Accessibility Inspector. She holds a Ph.D. in Computer Science from the University of Washington and has accumulated extensive research and development experience at leading technology companies, including Apple, Google, and Adobe. Her work has not only pushed the boundaries of User Interface Design but has also had a profound impact on the fields of Machine Learning and Human-Computer Interaction.

• 2025–Present·Microsoft Research·Principal Researcher
  • Conducting cutting-edge research projects focusing on agent systems and human-computer interaction experiences.
• 2020–2025·Apple·Research Engineer/Scientist
  • Developed HCI AI tools to accelerate developers' workflows; trained machine learning models to understand user interfaces; built large-scale data pipelines for annotated data collection.
• 2015–2019·University of Washington Code & Cognition Lab, Fogies Lab·Ph.D. Research Fellow
  • Designed and developed four systems leveraging constraint solving, data-driven design, and machine learning to aid UI designers in design and usability evaluations.
• 2019·Microsoft Research·Research Intern
  • Built cross-device systems to capture and link document-related information.
• 2018·Google Research·Student Researcher/Intern
  • Collected a dataset with over 20,000 annotations via Mechanical Turk and developed deep learning models to predict the clickability of mobile interfaces.
• 2016, 2017·Adobe Research·Research Intern
  • Developed the Rewire system to assist designers with interaction design from example screenshots.
• 2012–2015·Microsoft Corporation·Software Development Engineer
  • Designed and built web client framework features for Dynamics AX and developed a visual regression testing framework.
• 2010–2012·University of Nebraska–Lincoln·Research Assistant
  • Developed the CogTool-Helper tool to help designers evaluate the impact of user interfaces on human performance.

• 2015–2019·University of Washington·Ph.D.
  • Major in Computer Science, with a research focus on User Interface Design and Human-Computer Interaction.
• 2010–2012·University of Nebraska–Lincoln·Master’s Degree
  • Major in Computer Science, specializing in UI testing and performance modeling.