I research data visualization as a computer science PhD canditate and a National Science Foundation graduate research fellow at Brown University, where I am advised by David Laidlaw.
My dissertation provides new computational design techniques and usability guidelines to empower both the creators and users of visualization tools.
I'm incredibly excited to have spoken at this year's OpenVisConf, where I talked about some of the projects I've authored on visualization color design assistance and effectiveness. The slides are here.
Colorgorical is a tool to make categorical visualization color palette design easier, given the frequent difficulties that arise when trying to balance aesthetics with legibility constraints. Large-scale evaluations show that palettes automatically made by Colorgorical are as discriminable and are typically more preferable compared to the defaults included in ColorBrewer, Microsoft, and Tableau. (use) (paper) (source)
d3-cam02 is a D3.js module that defines CIECAM02 and CIECAM02-UCS color spaces. CIECAM02 and CIECAM02-UCS are two of the most perceptually accurate color spaces, which is particularly important for visualization design given that perceptual color differences often encode meaning. (use) (source)
Exploring visualization design spaces
I created a collection of hierarchal visualization annotations and developed a prototype to explore the design space for phylogenetic design classification results. (paper)
Classifying interaction behavior
I designed a new feature set based on recent eyetracking advances to classify visualization interaction behavior by mining anonymized cancer visual analysis mouse interaction logs. (under review)
Usability requirements for cancer genomics visualization
I performed a contextual inquiry to synthesize four common cancer genomics task requirements and then evaluated whether MAGI's interface supported these needs. My analysis focused on including the full diaspora of research subdisciplines to define and evaluate usability. (under review)
I performed a series of quantitative evaluations to identify design practices based on how the layout, number, and physical size of data affects visualization search performance. (paper)
Brown University. 2012 – 2017 (expected)
Ph.D. in Computer Science
Brown University. 2012 – 2014
Sc.M. in Computer Science
Tufts University. 2008 – 2012
B.S. in Computer Science
Minor in Religion
Cum Laude with Highest Thesis Honors
Graduate Researcher, 2012 – 2017.
Undergraduate Researcher, 2010 – 2012.
Head TA, Computer Graphics
TA, Data Structures
TA, Intro to Computer Science
Led or contributed to several collaborative research projects through design, full-stack development, and evaluation (see projects)
Charles River Analytics
Devised a NASA TLX user study to evaluate emergency response management visualization and a Java/Swing prototype for pilotting multiple unmanned vehciles
Aided the creation and evaluation of several visualization and graphics projects (see projects)
In college, through minoring in Religion and performing in Kiniwe – Tufts’ Ghanaian performance ensemble – for four years, I got hooked on learning about and experiencing other cultures. Since graduating from college, I’ve been lucky enough to explore several countries first hand. Much of my traveling is inspired by experiencing the outdoors, like backpacking the West Highland Way or diving in the Belize Barrier Reef. My favorite way to travel is with nothing more than a carry-on backpack.