I aim to couple human and machine computation more closely through interactive visualization. In my research, I develop software tools to help computational scientists in all disciplines extract meaning from data, big and small, more efficiently and effectively. I am advised by Jeff Heer and Richard Ladner.
I graduted from Princeton University with a BA in Computer Science, where I focused on topics at the intersection of HCI and ML, working with Andrew Appel, Robert Schapire, and Rebecca Fiebrink. During the summer, I did research with Vivek Pai on web session clustering and Jeffrey O. Snyder (no relation) on electronic instrument design.
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TextVis is a visualization framework for improving text classification model quality being developed concurrently with our entry in the SemEval 2014 competition.
VizRec is a system that enables efficient, interactive initial exploration of the structure of high-dimensional data sets by parallelizing the process of discovering patterns in data.
Working with Andrew Appel, I created CHOPS, which uses ML techniques to define obscure jazz vocabulary, like "hip" and "swinging", in simple musical terms for pedagogical applications.