Matt currently leads instruction for General Assembly Data Science Immersive across the United States. He most enjoys bridging the gap between theoretical statistics and real-world insights. Matt is a recovering politico, having worked as a data scientist for a political consulting firm through the 2016 election. Prior to his work in politics, he earned his Master’s degree in statistics from The Ohio State University. Matt is passionate about making data science more accessible and putting the revolutionary power of machine learning into the hands of as many people as possible. When he isn’t teaching, he's exploring the bar scene in his city (Washington, D.C.), he’s thinking about how to be a better teacher, falling asleep to Netflix, and/or cuddling with his pug.