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Erik Brinkman

I am a research scientist at Meta studying the fairness of recommender systems. I'm particularly interested in the underlying incentives of recommender systems, and the processes that create them. In 2022 I switched to fairness after spending the past four years studying people representation and candidate generation at Meta. Before joining Meta I completed my PhD in Computer Science at the University of Michigan from 2012 to 2018. There I was advised by Michael Wellman.

My research interests include the incentives and dynamics in complex systems. This relates to embedding learning, user representation, fairness, recommender systems as markets, and general learning.

D3 DAG
DAG layout library
Empirical Mechanism Design
EC 2017
reMarkable ePub
ePub render for reMarkable
Ascii Math Unicode
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You can find more information about me via any of the following services:

Thanks to Alison Wilcox for the logo design, Melanie David for inspiring the design of this website, and Sarah Forrest for design guidance.

All project hero images come from Unsplash courtesy of CDC, Matteo Catanese, Jon, Zoltan Tasi, and Daniele Levis Pelusi.

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