Data scientist and computational social scientist with a decade of experience introducing and institutionalizing new data science capabilities at some of the world’s top social research organizations.

In my previous roles as the senior data scientist at Pew Research Center’s Data Labs, an inaugural data scientist at the National Opinion Research Center (NORC), and a researcher at the University of Chicago and UT Austin, I have managed and executed a wide range of data-intensive social science research projects that have required close collaboration with research, stats and tech experts to define research goals and design, develop, and deliver products involving natural language processing, machine learning, data systems engineering, and large-scale data collection.

My research portfolio has covered a wide variety of interdisciplinary challenges, including measuring and tracking U.S. political trends, quantifying the “meaning of life,” conducting online surveillance of human trafficking activities, building a map of YouTube, detecting emerging trends in substance abuse, analyzing HIV risk in local community networks, measuring strategic adaptation across international terrorist organizations, quantifying parent engagement in early childhood education, standardizing unstructured criminal records, and parsing medical information from high volume healthcare records.

My work has been covered by the New York Times, the Washington Post, and many other prominent publications, and I regularly present at a variety of academic and industry conferences including AAPOR, ASPA, and IC2S2.