Amanda Swearngin
Scholar

Amanda Swearngin

Google Scholar ID: ubybpxsAAAAJ
Researcher, Microsoft Research
Software EngineeringHuman Computer InteractionGUIsAccessibility
Citations & Impact
All-time
Citations
974
 
H-index
15
 
i10-index
18
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • Accessibility Developer Tools: Developed a large-scale system to collect and report accessibility issues for mobile apps, used internally by multiple prominent Apple apps, and released as an Xcode feature in Accessibility Inspector. UI Understanding: Developed an ML-driven internal framework (Swift and Python) used by 20+ teams and products to recognize UI elements. Screen Recognition: The first on-device ML model to recognize and announce iOS app UI for VoiceOver, benefiting 20M+ blind users. CHI Best Paper award. Recognized expert on accessibility developer tools.
Research Experience
  • 2025 - Present: Microsoft Research, Principal Researcher, AI Frontiers lab, research projects on agentic systems and human-AI experiences. 2020 - 2025: Apple, Research Engineer/Scientist, developed human-centered AI tools for accelerating developers, and trained ML models for understanding UIs. 2015 - 2019: Code & Cognition Lab, Fogies Lab, University of Washington, Graduate Student Researcher, designed and developed 4 systems applying constraint solving, data-driven design, and ML to aid UI/UX designers. 2019: Microsoft Research, Research Intern (Ideas Group), conducted a company-wide survey on information capture from mobile devices, and collaborated with two product teams. 2018: Google, Inc., Student Researcher & Intern (Reflection Group, Google Research), developed a crowdsourcing interface and collected over 20k labels through Mechanical Turk.
Education
  • Degree: Ph.D. in Computer Science; Institution: University of Washington; Advisors: Amy Ko, James Fogarty; Period: 2015-2019; Field: Computer Science.
Background
  • Research Interests: Data-driven design, program analysis, and constraint solving for user interface design software. Specialization: Human-computer interaction, machine learning, UI/UX design.
Miscellany
  • Personal interests and hobbies not mentioned.