Di Mo is an Applied Science Leader at LinkedIn, currently overseeing a team dedicated to developing methodologies for complex platform challenges. With over ten years of experience in data science and economics, Di has a robust background in analytics, experimentation, and machine learning. Previously, Di held positions as a Data Science Manager at Chime and a researcher at Stanford University, where they significantly impacted educational policy. Di earned a PhD in Economics from the University of Leuven, along with a Master's degree in the same field, demonstrating a strong academic foundation in their areas of expertise.
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Mountain View, United States
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