Assistant Professor CSE Department NYU School of Engineering 2 Metrotech Center, Brooklyn, NY 11201 (10th Floor, Room 10.026) P: 646-997-3731 E: my first name dot last name @nyu.edu

Assistant Professor
CSE Department
NYU School of Engineering
2 Metrotech Center, Brooklyn, NY 11201
(10th Floor, Room 10.026)
P: 646-997-3731
E: my first name dot last name @nyu.edu

Welcome!

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 at NYU Tandon and I am the founder and co-host of Data Stories: the best data visualization podcast ever.

I live in "the village" in New York City with my lovely 3 kids and my wife. If you are in the city feel free to come visiting. 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!

Recent Publications

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 [pre-print].

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.
[arXiv]

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]

News

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".