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.
- Satyanarayan, A., B Lee, B., Ren, D., Heer, J., Stasko, J., Thompson, J., Brehmer, M., Liu, Z. (2019). Critical Reflections on Visualization Authoring Systems. IEEE Transactions on Visualization and Computer Graphics 26 (1), 461-471.
- Boggust, A., Carter, B., Satyanarayan, A. (2019). Embedding Comparator: Visualizing Difference in Global Structure and Local Neighborhoods via Small Multiples. arXiv.
- Olah, C., Satyanarayan, A., Johnson, I., Carter, S., Schubert, L., Ye, K., Mordvintsev, A. (2018). The Building Blocks of Interpretability. Distill 3 (3), e10.
- Hoffswell, J., Satyanarayan, A., Heer, J. (2018). Augmenting Code with In Situ Visualizations to Aid Program Understanding. Proceedings of the CHI Conference on Human Factors in Computing Systems, p. 532.
- Satyanarayan, A., Moritz, D., Wongsuphasawat, K., Heer, J. (2017). Vega-Lite: A Grammar of Interactive Graphics. IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis).
- 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.