I work with Professor Elke Rundensteiner in the Data Science Research Group.
My research is focused on algorithms for fair prediction and ranking, and developing interactive data analytics tools and visualizations.
Interests include machine learning, data mining, algorithmic fairness, and human-computer interaction.
I'm interested in using public data to solve social problems. In the summer of 2016 I was a member of the inaugural class of Data Science for Social Good Fellows at IBM Research.
I'm also the lead researcher and developer at WPI on MATTERS,
the Massachusetts Technology, Talent, and Economic Reporting System, a project led by the Massachusetts High Tech Council.
This tool uses open public data to evaluate the economic competitiveness of US states.
Learn more about the MATTERS project here.