We are hiring PhDs! If you are interested in joining our visualization lab at NYU as a PhD student in the academic year 2017-2018, please send me an email with your CV and a portfolio of your projects (if you have any).
I am Assistant Professor at NYU Tandon School of Engineering in the CSE Department where I do research in Information Visualization. In my lab we develop and study interactive visual interfaces to help people make sense of data and communicate results reliably, efficiently and effectively.
I teach Information Visualization to undergraduate and graduate engineering students. I am the co-host of Data Stories: the best data visualization podcast ever. I write my ideas on data and visualization in my blog FILWD.
If you are a student who wants to work with us or if you have an interesting data problem you think we can solve together let us know. We love data problems!
TextTile: An Interactive Visualization Tool for Seamless Exploratory Analysis of Structured Data and Unstructured Text.
Cristian Felix, Anshul Vikram Pandey, and Enrico Bertini.
IEEE Transactions on Visualization and Computer Graphics (Proc. of VAST), 2016. [Project Page]
SeekAView: An Intelligent Dimensionality Reduction Strategy for Navigating HD Data Spaces.
Josua Krause, Aritra Dasgupta, Jean-Daniel Fekete, Enrico Bertini.
IEEE Symposium on Large Data Analysis and Visualization (LDAV), 2016 [Project Page]
Using Visual Analytics to Interpret Predictive Machine Learning Models.
Josua Krause, Adam Perer, Enrico Bertini.
ICML Workshop on Human Interpretability in Machine Learning (WHI), 2016.
Data Visualization for Human Rights Advocacy
Katharina Rall, Margaret L. Satterthwaite, Anshul Vikram Pandey, John Emerson, Jeremy Boy, Oded Nov, Enrico Bertini.
Journal of Human Rights Practice, 8, 2016, 171–197
Towards Understanding Human Similarity Perception in the Analysis of Large Sets of Scatter Plots.
Anshul Vikram Pandey, Josua Krause, Cristian Felix, Jeremy Boy, Enrico Bertini.
Proc. of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2016.
*** Best Paper Award: Honorable Mention ***
Aug 2, 2016. New IEEE VAST paper: "TextTile: An Interactive Visualization Tool for Seamless Exploratory Analysis of Structured Data and Unstructured Text."
Jun 23, 2016. We presented: "Using Visual Analytics to Interpret Predictive Machine Learning Models." at the ICML Workshop on Human Interpretability in Machine Learning.
Jun 6, 2016. Student projects of our Information Visualization (Spring'16) course are online on GitHub.
May 27, 2016. Washington Post data analysis done by ProPublica with RevEx, our review analysis software: "Doctors fire back at bad Yelp reviews — and reveal patients’ information online".