Grace Tang

Staff Data Scientist, Research

Grace Tang is a highly experienced data scientist and researcher specializing in behavioral insights, cognitive neuroscience, and data science applications in various industries. With a career that encompasses roles at prominent organizations such as Google, Netflix, and Uber, Grace has led cross-functional teams and projects to optimize user experience through data-driven decision-making. Education includes a BSc in Biology (Neuroscience) from the University of Wisconsin-Madison and a PhD in Neuroscience from Stanford University. Additionally, Grace is dedicated to mental wellbeing, co-leading the Mental Health Employee Resource Group, and currently serves as an instructor for a course on data science at Stanford Continuing Studies.

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San Francisco, United States

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