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2016
Eric Lundquist

Photo of Eric Lundquist

Eric received his undergraduate degree from Haverford College, where he majored in mathematical economics and graduated with departmental honors. While there, he played for the varsity cricket and squash teams in addition to writing an A&E column for the student newspaper and running a small café/performance space on campus. After becoming fascinated with analytics during his statistics and econometrics courses, he furthered these interests as a summer research assistant for two of his professors, examining topics including the gender pay gap and absolute/relative income as a determinant of personal happiness. His undergraduate studies culminated with a 50-page data-driven research paper examining how various social safety net institutions affect work attitudes and job search behavior.

After Haverford, Eric sought to further his technical and analytical skills while using these tools to promote social progress by joining Mathematica Policy Research. At Mathematica, he quickly became adept at statistical programming in a professional context: collecting, organizing, and analyzing large data sets for several different policy evaluation studies at once. His contributions included implementing a multi-year matched-comparison study to examine the effect of an urban charter school on student achievement relative to neighborhood alternatives, building a regression model to estimate teacher and school value-added performance scores for a large urban school district, authoring a white paper on experimental design for clustered healthcare evaluations, and creating a series of software packages for statistical power simulations.

Eric is excited to explore many of the newer analytical techniques developed over the last several years, especially those dealing with unstructured data, predictive analytics, and visualization. In addition, he looks forward to applying these methods to industries beyond academia and public policy to gain a broader perspective of the field. His long-term goals include using the power of analytical thinking to improve the efficiency, effectiveness, and transparency of public institutions in his local community.