Thomas Barrios is a highly experienced professional in the fields of economics, data science, and applied research. With a PhD in Economics from Harvard University, Thomas has held several prominent positions, including Postdoctoral Research Fellow at the University of Michigan and Visiting Researcher at Facebook. Currently, Thomas serves as both a Staff AI Scientist / Machine Learning Engineer at Intuit and a Data Scientist at Snap Inc., where expertise in machine learning and statistical analysis is applied to develop innovative predictive algorithms and conduct A/B experiments. Previous roles include Senior Applied Scientist at Uber, where contributions were made to product development through experimental analysis, and Senior Data Scientist at TrueCar, Inc., focusing on car pricing models using advanced machine learning techniques. Proficient in handling large data sets, Thomas possesses a strong foundation in education policy research and statistical tools for social networks.
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