M.S. in Computational Analysis and Public Policy
Harris School of Public Policy at the University of Chicago
GPA: 3.96/4.00, Honors
Relevant course work in machine learning, databases, algorithms, statistics, multilevel regression modeling, optimization-conscious econometrics, and big data application architecture.
B.A. in Economics
The University of Chicago
Overall GPA: 3.88/4.00, Major GPA: 3.71/4.00, Phi Beta Kappa (June 2019), General Honors, Dean's List (2015-16, 2016-17, 2017-18, 2018-19)
Relevant course work in econometrics, real analysis, linear algebra, microeconomics, macroeconomics, game theory, and policy implementation.
University of Chicago
Provided additional instruction to individual students, planned and delivered supplementary lessons, and evaluated student work for graduate courses in computational statistics and database systems.
Lake Research Partners
Prepared results of public opinion surveys for presentation to political campaigns and interest groups by reviewing crosstabs. Identified prominent themes in qualitative data to assist analysts and clients in understanding survey results.