Matt leads the data science, analytics, and engineering teams at Root. Using modern quantitative methods, his teams facilitate systematic decision-making across the entire company. The data science and analytics teams are committed to the rigorous development and effective deployment of statistical machine learning methods to problems like telematics risk scoring, pricing, marketing, and more.
Prior to Root, Matt worked in the areas of high frequency trading and statistical arbitrage. He holds a BS in Computer Science and Mathematics from Carnegie Mellon University, and a PhD in Statistics from the University of Chicago.
February, 2022 - present
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