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About Me

I am a PhD student at Stanford GSB. My research primarily seeks to understand how individuals perceive and make sense of information about organizations and their products. I employ a variety of methods to study individuals and how they react to and create information, including large scale data analysis (~1,000,000 observations), multivariate linear and logistic regression, natural language processing (e.g. word vectors, topic modeling, RNNs), A/B tests and survey experiments, and a variety of supervised and unsupervised machine learning methods to predict behavior and feature engineers variables that map onto theoretical constructs in social science.

When I’m not working I’m often reading about other disciplines, traveling and seeking new experiences, or enjoying music.