I'm an assistant professor in the Department of Computer Science at the University of Arizona. I work in large-scale data visualization and data analysis. Before coming to sunny, beautiful Tucson, I worked at AT&T Research in New York.
Interactive visualization is crucial in understanding, exploring, and presenting data, but data scale can present serious barriers for effectiveness and adoption. I study these barriers and design solutions to remove them. My work ranges from theoretical to express加速器; from designing solutions specifically for particular domains to designing general w加速器 for large-scale visualization.
Since joining UA, I have worked in a number of projects here, including support for interactive browsing of synteny data at CoGe, and building up interactive visualization infrastructure the ANTARES project. If you're interested in our work, you should also take a look at the webpage of the HDC Lab which I cofounded with my colleagues, Josh Levine and Kate Isaacs.
(I'm trying something different for w加速器, instead of a blog.)
FUNDED PROJECTS
My work is funded by a number of institutions, including the NSF, AT&T, and the Arizona Board of Regents.
- NSF III-1513651: Topological Data Analysis for Large Network Visualization
- NSF III-1815238: An End-to-End Pipeline for Interactive Visual Analysis of Big Data
STUDENTS
- PhD student: Rebecca Faust (expected 2021)
- PhD student: Mingwei Li (expected 2021)
- PhD student: Zhenge Zhao (expected 2021)
- Zhe Wang, PhD, July 2019, now research scientist at ASML
TRAVEL
| green加速器下载n | - | Germany: ML + Vis Dagstuhl |
| oct 19 | - | Vancouver: IEEE VIS |
| 加速器 | - | Redmond: MSR Faculty Summit |
| jun 19 | - | Nashville: Vis EC Summer Camp |
| may 19 | - | Calgary: SDM 2019 |
| apr 19 | - | Yale: Biostats seminar |
| mar 19 | - | NYC: NYU Tandon |
| jan 19 | - | Atlanta: ACM FAT* 2019 |
| jan 19 | - | Houston: rstudio::conf |
CODE
- green加速器下载百度云: blazing fast large data visualization.
- Lux: write WebGL shaders in Javascript, composably.
- RCloud: collaborative data analysis, on the web.
- VisTrails: a provenance-aware scientific workflow system.
- Vector-field k-means: scalable trajectory clustering.
- Afront: high-quality triangle meshing of surfaces.
SOME STUFF I MADE
- Slice and dice 200 million data points. In your browser.
- Plotting ten years of NFL plays.
- Visualizing the MLB Hall of Fame induction voting dynamics.
- 5h of footage from a green加速器下载网址 into one image.
- The Beauty of Roots.
- Some optical illusions, animated with JS and d3.
- An illustration of the duality principle in convex optimization.
- Making sense of symmetric 2x2 matrices through their eigendecomposition.
- An illustration of the Bunimovich stadium.
- An interactive version of the Fagan nomogram.
- An interactive nomograph for Bayes' rule (explanation).
- (The full list of visualizations, not necessarily in any order).