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Past Member

Keeley Erhardt

Former Research Assistant
  • Human Dynamics

Keeley Erhardt is a Ph.D. candidate at the MIT Media Lab and has industry experience at Google, Meta, Apple, and several startups. Her research focuses on developing algorithms to study temporal correlations in large-scale networks through the use of AI and statistical models. She received the Ripple Fellowship and won the Best Paper award at SBP-BRiMS for her work modeling the hidden dynamics of state-backed influence campaigns.