As a data visualization engineer at Bluefin Labs, I build tools for visualizing our massive amounts of TV, ad, and social media data. This was a big departure in domain from my work at the Broad Instiute of MIT and Harvard, where I built tools for visualizing genomic features on genomes and tools for understanding comparative genomics. Working with users to devise innovative and thoughtful visualizations to bring insight to their investigations is a passion of mine I discovered while getting my M.S. at the University of North Carolina at Chapel Hill. During my tenure there, I published a first author paper at IEEE Conference on Visualization. In this work, I collaborated with neuroscientists to help them understand where calcium was located on small neuronal structures.
After graduating, I worked at the Pacific Northwest National Laboratory, where I took on several interesting projects, ranging from visualizing relationships between a massive number of documents to helping analysts understand fish moving across a local dam and was awarded a key contributor award for my part. At this time, tabletop displays weren't as prevalent as they are now, and I was fortunate enough to work with a small team investigating user interaction with such a device coupled with a large projector display.
I came to Boston to work at the Martinos Center for Biomedical imaging to work on neuro-imaging projects. I worked mainly with diffusion tensor imaging, an extension of magnetic resonance imaging (MRI), to develop algorithms for understanding the flow of blood in the brain. I was even able to participate in a few of the studies and run various analyses on data collected from my brain.