Hi, I'm Angie! I'm a PhD candidate at MIT CSAIL advised by Arvind Satyanarayan in the Visualization Group. My research focuses on improving human-AI alignment by designing interfaces that communicate model representations and methods to shift them toward people's expectations. I am honored to have my research supported by the MIT John Jarve Fellowship and Apple Scholars in AI/ML PhD Fellowship.
Previously, I received my SB and MEng in computer science from MIT, where I worked with Jim Glass and David Harwath in the Spoken Language Systems Group. Throughout my PhD, I've interned at Apple Research with Fred Hohman and IBM Research with Hendrik Strobelt.
Recent News
I am organizing the VISxAI workshop at IEEE VIS 2025. 📈 Stop by for a fireside chat with Adam Perer, Hendrik Strobelt, and Mennatallah El-Assady and a keynote by Martin Wattenberg.
This summer I am interning at Apple 🍎 working with Fred Hohman, Yannick Assogba, Donghao Ren, and Dominik Moritz.
I will be at CHI in Yokohama 🌸 presenting Abstraction Alignment.
I gave a guest lecture 📚 on AI interpretability in Brown's Sociotechnical Systems and HCI course.
I had a great time as a panelist at the NEMI workshop discussing how mechanistic interpretability can help keep AI safe and beneficial. 🤖
I am honored to receive an Apple Scholars in AI/ML PhD fellowship! 🏆
Our paper, VisText, received an outstanding paper award 🏅 at ACL!
Publications
Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language
Under Review at International Conference on Learning Representations (ICLR) 2026
Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships
ACM Human Factors in Computing Systems (CHI) 2025
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments
IEEE Transactions on Visualization & Computer Graphics (VIS) 2024
DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image Models
arXiv 2023
VisText: A Benchmark for Semantically Rich Chart Captioning
The Annual Meeting of the Association for Computational Linguistics (ACL) 2023
Outstanding Paper
Saliency Cards: A Framework to Characterize and Compare Saliency Methods
ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2023
Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior
ACM Human Factors in Computing Systems (CHI) 2022
Best Paper Honorable Mention
Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples
ACM Intelligent User Interfaces (IUI) 2022
Best Paper Honorable Mention