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Dan Lee is a seasoned professional in the field of machine learning and data science, currently serving as a Machine Learning Engineer at Gauntlet since June 2024, focusing on financial and risk services through Aera smart contract wallets. Prior experience includes a role as Software Engineer at Paradigm, leading centralization efforts, and a position as Data Scientist at Pinterest, where Dan led the development of classification models for content safety. Additional roles encompass Machine Learning Engineer at Pathlight, Data Scientist at PlanGrid, and Machine Learning Engineer at Natero, with a strong emphasis on predictive analytics and data processing. Dan Lee holds a Ph.D. Candidate designation in Time Series Econometrics/Statistics from Duke University and a B.S. in Applied Math, Economics, and Operations-Research from Columbia University.