Arvind Satyanarayan
Hi, I'm Arvind Satyanarayan.
arvindsatya@cs.stanford.edu · @arvindsatya1 LinkedIn · Curriculum Vitae
Arvind Satyanarayan
Hi, I'm Arvind Satyanarayan.

I'm a Computer Science PhD candidate at Stanford University, working with Jeff Heer and the Interactive Data Lab. My research seeks to lower the threshold for design, with a focus on data visualization. I'm also an advisor for Apropose, Inc., a Bay Area startup I co-founded to build data-driven web design tools.

I graduated from UC San Diego, where I worked with Jim Hollan to study interactions with wall-sized displays. At UCSD's Revelle College, I helped create an internship program and served as Senator, Resident Advisor, and Orientation Leader.

Years ago, I wrote plugins and tutorials for Movable Type, and helped fork Melody.

News

  • Looking forward to presenting our paper on Vega-Lite at InfoVis 2016.
    Aug 1, 2016
  • Honored to be awarded a Google PhD Fellowship.
    Mar 10, 2016
  • Released Vega 2.0 featuring declarative interaction design, streaming data sources, improved rendering, and more.
    Jul 14, 2015

Featured Projects

Reactive Vega: Declarative Interaction Design

Reactive Vega: Declarative Interaction Design

Declarative primitives for interaction design, backed by a performant streaming+reactive dataflow architecture.

Vega-Lite: A Grammar of Interactive Graphics

Vega-Lite: A Grammar of Interactive Graphics

A high-level visualization grammar that enables rapid specification, and decomposes interaction into enumerable semantic units.

Lyra: A Visualization Design Environment

Lyra: A Visualization Design Environment

Lyra enables constructing D3-calibre visualizations through direct manipulation, no programming required! Try it »

Other Projects

Ellipsis: Authoring Narrative Visualizations

Ellipsis: Authoring Narrative Visualizations

A model of storytelling abstractions, and a graphical interface for authoring narrative visualizations. Try it »

Webzeitgeist: Design Mining the Web

Webzeitgeist: Design Mining the Web

A platform for scaleable design mining to understand design demographics, and support data-driven design tools.

An Overlay Interface for Large Displays

An Overlay Interface for Large Displays

A superimposed interface to constrain interaction, focus attention, and facilitate multiple users with wall-sized displays.

Publications

Travel

Oct 27–28 Moore DDDI Symposium, New York City
Oct 22–26 IEEE VIS, Baltimore, MD
Jul 18–21 Intel (Big Data ISTC), Cambridge, MA
Jul 8–10 DataViz Camp, United Nations
Jun 6–10 EuroVis, Groningen, Netherlands
May 16–Jun 4 ExSitu, INRIA, Saclay, France
Apr 24–26 OpenVis Conf, Boston, MA