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 an Assistant Professor at NYU Tandon School of Engineering in the CSE DepartmentIn my lab we develop and study innovative methods to help people make sense of data with interactive visual interfaces.

At Tandon I teach Information Visualization and Data Sensemaking to undergraduate and graduate engineering students. I am the co-host of Data Stories: the best data visualization podcast ever. I also have a blog called FILWD.

Recent Publications

Taking Word Clouds Apart: An Empirical Investigation of the Design Space for Keyword Summaries. Cristian Felix, Steven Franconeri, Enrico Bertini. IEEE Transactions on Visualization and Computer Graphics (Proc. of InfoVis), 2017.

A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations. Josua Krause, Aritra Dasgupta, Jordan Swartz, Yindalon Aphinyanaphongs, Enrico Bertini. Proc. of IEEE Conference and Visual Analytics Science and Technology (VAST), 2017. [GitHub Page]

Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations.
Paolo Tamagnini, Josua Krause, Aritra Dasgupta, Enrico Bertini. Proc. of SIGMOD Workshop on Human-In-the-Loop Data Analytics (HILDA), 2017.

Showing People Behind Data: Does Anthropomorphizing Visualizations Elicit More Empathy for Human Rights Data? Jeremy Boy, Margaret Satterthwaite, Anshul Vikram Pandey, Oded Nov, John Emerson, Enrico Bertini. Proc. of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2017.

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. [arXiv]

Data Visualization for Human Rights AdvocacyKatharina 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 ***

Updates

Aug 1, 2017. Two papers accepted at IEEE VIS 2017, one on visual debugging of ML models and one on the design space of word clouds.

Apr 16, 2017. New paper at HILDA Workshop: "Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations".

Feb 1, 2017. New ACM CHI paper: "Showing People Behind Data: Does Anthropomorphizing Visualizations Elicit More Empathy for Human Rights Data?"

Oct 24, 2016. I gave the keynote talk at BELIV 2016. Here is a video recording of my talk and my slides.

Oct 23, 2016. Joschi presented his paper at IEEE LDAV about his guided data analysis tool "SeekAView".

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".