Nathan Bartley

Nathan Bartley is a Ph.D. candidate in Computer Science at the University of Southern California, with a focus on recommender systems and exposure bias in online social networks. Their past experience includes serving as a Civic Digital Fellow at the Bureau for Labor Statistics, where they created a tool utilizing NLP for standardizing workplace injury statistics. Additionally, Nathan held research and software development roles at the University of Chicago, investigating computational biology and leveraging machine learning techniques. Currently, they are the Lead Data Scientist at favorited, managing data science initiatives across various departments, including product analytics and fraud detection.