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William Godel

Computational Social Scientist, PhD Candidate at NYU Politics

William Godel is a PhD candidate in political science with a strong focus on the application of data science and machine learning to social science. His goal is to transition into a tech career where he can utilize his expertise in translating complex data into insights about human behavior. His current research involves applying machine learning techniques to political science questions, particularly in estimating politician ideology using innovative algorithms and analyzing social media data. William is proficient in Python and various libraries such as pandas, numpy, pytorch, scikit learn, and XGboost, working across traditional ML, deep learning, NLP, and statistical inference.

William Godel
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Location

New York City Metropolitan Area