Hi, I'm Connor Gramazio.

I research data visualization as a computer science PhD canditate and a NSF graduate research fellow at Brown University, where I am advised by David Laidlaw. My dissertation committee members are Jeff Huang, Ben Raphael, and Karen Schloss.

My research focuses on how graphical perception and interaction log mining can improve the visual analysis of complex cancer genomics data.

I'm currently looking for jobs starting post-academic year.

Before starting at Brown I graduated from Tufts University, where I was advised by Remco Chang and Sara Su (now at Google).


Colorgorical*

Colorgorical is a web-based tool for creating information visualization color palettes. Users design palettes by controlling the relative importance of color preference and discriminablity. Color selection can be further customized with hue and lightness filters, and users can also specify palettes to build upon.

MAGI

MAGI is an online cancer genomics visualization tool, which allows researchers to query sets of genes and renders mutation information across five separate views to support a myriad of analytical tasks.

Visualization search*

In this work I tested how the layout, number, and physical size of data affects visualization search performance. Our findings show that perceptual grouping greatly affects performance and that performance gains from increased physical size eventually plateau.

GD3*

GD3 is cancer genomics visualization library designed to make it easier to make interactive cancer visualization easier. Built on top of D3, GD3 simplifies design by allowing users to declaratively style visualizations with JSONs. More complex stylization (e.g., global color configuration and brushing) is handled through simple dispatch configuration.

Crowdsourcing methodology

In this study I helped test and categorize novice crowdsourcing requester strategies while also collecting faculty information about the top 50 computer science departments in the USA.

Visualization design space

In this work I helped code visualizations to construct a phylogenetic classification of the visualization layout design space, helped develop initial prototypes, and helped evaluate the effectiveness of our technique.

Heapviz

Heapviz is a visualization tool to explore snapshots of the Java heap captured during runtime. I helped create the visualization interface, which shows simplified Java heap information so that otherwise sprawling Java heaps are simplified so that data structures are recognizable.

Molli / TuftsViewer

Molli is a protein visualization tool that was built to support comparative structural analysis. In addition to rendering 3D structure, Molli also shows aligned sequences and residue information for each of the displayed proteins.

*: first-author publication

Fun things

In college I got hooked on learning about and experiencing other cultures. Since then, I've been lucky enough to be able to visit and explore several countries first-hand.

I love spending time outdoors, and enjoy backpacking/hiking, scuba diving, swimming, and biking.

My favorite way to travel is with nothing more than a backpack (here's a list of carry-on travel backpacks).