Angie Boggust

Angie Boggust is a PhD candidate in the Visualization Group at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), advised by Professor Arvind Satyanarayan. Her research focuses on Human-Computer Interaction and AI alignment, designing interfaces that effectively communicate model representations and promote alignment with human expectations. Her work aims to enhance AI interpretability and user experience through data visualization and machine learning techniques. Angie has been supported by the MIT John Jarve Fellowship and the Apple Scholars in AI/ML PhD Fellowship, and has gained significant research experience during internships at Apple Research and IBM Research.

• 2020–Present·Massachusetts Institute of Technology (MIT)·Research Assistant
  • Developed and optimized the VisText dataset for automatic chart captioning and conducted research on HCI and AI alignment issues.
• 2023·Apple Research·Intern
  • Conducted experiments on machine learning model compression and studied interaction methods for assessing model efficiency and behavior.
• 2022·IBM Research·Intern
  • Researched feature sensitivity and interpretability methods for vision transformers.

• 2020–Present·Massachusetts Institute of Technology (MIT)·PhD Candidate
  • Focus on Human-Computer Interaction and AI Alignment, researching visualization interface design and model alignment strategies.
• 2015–2020·Massachusetts Institute of Technology (MIT)·Bachelor's and Master's Degrees (SB and MEng)
  • Major in Computer Science, conducted research on language systems under Jim Glass and David Harwath.