Serena Wang

CRCS Postdoctoral Fellow
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My research focuses on understanding and improving the long term societal impacts of machine learning. I take an interdisciplinary approach that brings together algorithmic improvements, analysis of multi-agent incentives, and better understanding of intervention contexts. I am currently hosted by Ariel Procaccia as a CRCS fellow at Harvard. Previously, I received my PhD in EECS at UC Berkeley, advised by Michael I. Jordan.