Rina Friedberg has a robust academic and professional background in statistics and mathematics, highlighted by a Bachelor of Science from The University of Chicago and a Doctorate from Stanford University. Rina's experience includes roles as a summer researcher at the University of Pittsburgh and Carleton College, serving as a student visit coordinator at The University of Chicago, and various positions involving research and teaching assistance. A tenure as a Senior Machine Learning Engineer at LinkedIn focused on data privacy and causal inference preceded the current role of Research Scientist at Meta, where Rina contributes to the Central Applied Sciences economics team. Additional experience includes positions such as Kupcinet Getz Fellow at the Weizmann Institute of Science and Statistics Consultant at Nines.
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