Dan Yurovsky is a data scientist and computational cognitive scientist with 12 years of experience translating human behavior insights into product improvements for media and tech. After a trajectory through academic psychology roles at University of Chicago and Carnegie Mellon and a postdoc at Stanford, he moved into industry research at Amazon and now applies behavioral modeling to make movies and TV more engaging at Netflix. He blends a PhD in Cognitive Science and a BS in Computer Science to bridge rigorous experimental methods with scalable data-driven engineering. Known for turning nuanced cognitive theories into practical measurement and recommendation systems, he brings both scholarly depth and production experience to cross-functional teams in Pittsburgh.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Cognitive Science, Doctor of Philosophy - PhD, Cognitive Science at Indiana University Bloomington
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Carnegie Mellon University
Contributions:1 release, 51 commits, 40 pushes in 4 years 1 month
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