Arvind Satyanarayan

Arvind Satyanarayan is an associate professor in the Department of Electrical Engineering and Computer Science (EECS) and an investigator at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. 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).

Media

• February 29, 2024: MIT News, Eight from MIT named 2024 Sloan Research Fellows
• May 31, 2023: MIT News, New tool helps people choose the right method for evaluating AI models
• July 25, 2022: MIT News, School of Engineering second quarter 2022 awards