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Berg-Kirkpatrick focuses on developing machine learning techniques for understanding structured human data – including language, but also sources like music, historical ciphers, document images, and other complex artifacts. His research group aims to design unsupervised methods for such data that are able to learn without relying on labeled examples.

Capsule Bio:

Before joining Â鶹´«Ã½ in 2018, Berg-Kirkpatrick was an assistant professor of language technologies at Carnegie Mellon University. He earned his Ph.D. from UC Berkeley.