My research concerns provenance, data science, and visualization. As data continues to proliferate, I am interested in methods that improve our ability to understand and use it. Algorithms help to summarize, filter, and mine data, and visualization techniques provide intuitive and interactive methods for examining data. Both are important ingredients, but keeping track of all these computations and explorations places a burden on users. Automated capture of provenance—the record of how results are achieved—provides users greater freedom to investigate data without manually recording every detail of each step. This improves the reproducibility of past results and enables others to better reuse existing work.
Current projects include:
I am currently looking for motivated and hard-working graduate (PhD/MS) and undergraduate students to work on projects related to reproducibility, data visualization, and trajectory analysis. If you are interested, please email me your CV, transcripts, GRE scores (if applicable), and any supporting items (e.g. links to your projects if accessible online).