Arvind Satyanarayan

Arvind Satyanarayan is an assistant professor in MIT’s Department of Electrical Engineering and Computer Science and an investigator at the Computer Science and Artificial Intelligence Laboratory. He leads the Visualization Group, which uses interactive data visualization as a petri dish to study intelligence augmentation, or how do our computational representations and software systems amplify our cognition and creativity while respecting our agency? Satyanarayan has developed award-winning systems which have been broadly adopted by the Jupyter/Python data science communities, and have been deployed on Wikipedia. Satyanarayan earned a BS in computer science from the University of California, San Diego, an MS and PhD in computer science from Stanford University, and spent a year as a postdoctoral research scientist at Google Brain.

Selected Publications

• Satyanarayan, A., Boggust, A., Suresh, H., Strobelt, H., Guttag, J. (2023). Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods. ACM Conference on Fairness, Accountability, and Transparency (FAccT).
• Boggust, A., Suresh, H., Strobelt, H., Guttag, J., Satyanarayan, A. (2023). Saliency Cards: A Framework to Characterize and Compare Saliency Methods. ACM Conference on Fairness, Accountability, and Transparency (FAccT).
• Satyanarayan, A., Strobelt, H., Boggust, A. (2022). Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior. ACM Transactions on Computer-Human Interaction (CHI).
• Boggust, A., Carter, B., Satyanarayan, A. (2022). Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples. ACM International Conference on Intelligent User Interfaces (IUI).

Media

• Mar. 13, 2020: MIT News, 3Q: Collaborating with users to develop accessible designs.
• Mar. 6, 2018: New York Times, Google researchers are learning how machines learn.