Senior data scientist at Pew Research Center, developing data science systems, crunching numbers, and conducting interdisciplinary social science research on projects that involve specialized computational tech and methods. I regularly collaborate with research, stats, and tech experts to define research goals and design, develop, and deliver products that involve natural language processing, machine learning, data systems engineering, and online data collection.

My current work at PRC – as well as my previous work as a data scientist at NORC and as a researcher at the University of Chicago and UT Austin – has involved the development of specialized scientific software systems and applications across many different domains, including measuring and tracking U.S. political trends, standardizing unstructured criminal records, conducting online surveillance of human trafficking activities, detecting emerging trends in substance abuse, analyzing HIV risk in localized social networks, quantifying the natural language of psychological well-being, crowd-sourcing large research coding tasks, measuring strategic adaptation across international terrorist organizations, and parsing medical information from high volume healthcare records. My research has been covered by the New York Times, Washington Post, and many other prominent publications, and I regularly present at a variety of academic and industry conferences including AAPOR, ASPA, and IC2S2. I have an M.A. in Social Science focusing on computational content analysis and survey research methods, as well as a B.A. in Government / Philosophy, a B.A. in Economics / Business Administration, and a certificate in Business Economics.