Hello, I'm Angie Boggust

I'm an MIT PhD candidate studying AI + HCI

I work with Arvind Satyanarayan in the MIT CSAIL Visualization Group.

My research focuses on improving human-AI alignment by designing systems that reveal model representations and methods to shift them toward human expectations.

I have been a research intern with Apple and IBM Research. Previously, I graduated with my SB and MEng in Computer Science from MIT, where I worked with Jim Glass in the Spoken Language Systems Group.

I am honored to have my research supported by the Apple Scholars in AI/ML PhD Fellowship.

Recent News

March 11, 2024
Honored to receive an Apple Scholars in AI/ML PhD fellowship! 🍎
September 29, 2023
Today is my last day interning at Apple! The only thing better than Seattle in the summer 🌲 🌞 was getting to work with Fred Hohman, Yannick Assogba, Donghao Ren, Dominik Moritz, and Venkat Sivaraman!
July 5, 2023
Our paper, VisText, received an outstanding paper award 🏆 at ACL!
June 12, 2023
I'm at FAccT in Chicago presenting Saliency Cards. Let's meet up! ☕
May 1, 2022
Happy to announce that I will be spending the summer at IBM Research with Hendrik Strobelt! 🎉
March 28, 2022
Shared Interest won an honorable mention award! ✨ I can't wait to present it at CHI.

Featured Publications

VisText: A Benchmark for Semantically Rich Chart Captioning

Benny J. Tang* Angie Boggust* Arvind Satyanarayan

ACL 2023

Outstanding Paper

Saliency Cards: A Framework to Characterize and Compare Saliency Methods

Angie Boggust* Harini Suresh* Hendrik Strobelt John V. Guttag Arvind Satyanarayan

FAccT 2023

Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior

Angie Boggust Benjamin Hoover Arvind Satyanarayan Hendrik Strobelt

CHI 2022

Best Paper Honorable Mention

Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples

Angie Boggust* Brandon Carter* Arvind Satyanarayan

IUI 2022

Best Paper Honorable Mention

Cascaded Multilingual Audio-Visual Learning from Videos

Andrew Rouditchenko Angie Boggust David Harwath Samuel Thomas Hilde Kuehne Brian Chen Rameswar Panda Rogerio Feris Michael Picheny Jim Glass


AVLnet: Learning Audio-Visual Language Representations from Instructional Videos

Andrew Rouditchenko* Angie Boggust* David Harwath Brian Chen Dhiraj Joshi Samuel Thomas Kartik Audhkhasi Hilde Kuehne Rameswar Panda Rogerio Feris Brian Kingsbury Michael Picheny Antonio Torralba Jim Glass