Suggestions
Arvind Satyanarayan
Assistant Professor MIT EECS/CSAIL
Arvind Satyanarayan is an Associate Professor in the Department of Electrical Engineering and Computer Science at MIT and an investigator at the Computer Science and Artificial Intelligence Laboratory (CSAIL).15 He leads the Visualization Group at MIT CSAIL, where his research focuses on using interactive data visualization to study intelligence augmentation.24
Research and Contributions
Satyanarayan's work explores how computational representations and software systems can amplify human cognition and creativity while respecting user agency.12 His research has been recognized with several awards:
- NSF CAREER award
- Best paper awards at academic venues like ACM CHI and IEEE VIS
- Honorable mentions from practitioners (e.g., Kantar's Information is Beautiful Awards)24
Systems developed by Satyanarayan and his team have been widely adopted in various contexts:
Education and Career
Satyanarayan's educational background includes:
- PhD in Computer Science from Stanford University
- MS in Computer Science from Stanford University
- BS in Computer Science from the University of California, San Diego13
His professional experience includes:
- Associate Professor at MIT CSAIL (July 2018 - Present)
- Visiting Researcher at Google (October 2017 - June 2018)
- Cofounder and Advisor at Apropose, Inc. (May 2014 - September 2016)3
Publications and Research Areas
Satyanarayan has authored numerous publications in the fields of data visualization, human-computer interaction, and machine learning. Some of his notable works include:
- "Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods"
- "Saliency Cards: A Framework to Characterize and Compare Saliency Methods"
- "Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior"1
His research interests encompass:
- Interactive data visualization
- Intelligence augmentation
- Human-computer interaction
- Machine learning4
Arvind Satyanarayan's work continues to contribute significantly to the fields of computer science and artificial intelligence, with a focus on enhancing human-computer interaction through innovative visualization techniques.