I am a mathematics and economics major at The Pennsylvania State University, Schreyer Honors College. I have many interests including studying economic models, mathematical finance, reading about politics, and programming. I am fascinated by how machine learning can be used in politics and marketing. My programming interests are geared toward data analysis in Mathematica and Python, but I also enjoy C++ and web development, and I am excited by the Wolfram Language's easy deployment on the web with the Programming Cloud. In my free time I enjoy golfing, skiing, and swimming.
Project: Senate Voting Network Analysis
In my project, I aim to analyze the voting record for the United States Senate and represent the data in ways that are informative and visually appealing, namely in the form of a website and interactive graphs. The basic analysis of the data included using data mining and machine learning techniques to classify politicians and view the network structure of the Senate. My larger goal is to study network formation from a political science and economic point of view, specifically in creating a model for network formation through policy adoption that is based in empirical observations.