Josh is a data scientist and research methodologist, with over a decade of experience working within the intersection of quantitative analysis and social theory. He earned a PhD in Sociology from University of California, Davis and a Master’s in Religious Studies from Stanford University. He specializes in translating fuzzy, real-world interests into concrete, explicit questions that can then be directly connected to data structures and algorithms. Josh is never happier than when he is in a corner booth listening to live music from passionate artists.
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