Daniel Fried

I'm a PhD student in the Natural Language Processing Group and Berkeley AI Research Lab, advised by Dan Klein.

I work on grounded semantics and pragmatics: building systems that can interpret and generate context-dependent language. When people communicate, they reason about the world and their conversational partners. Can natural language systems do the same?
I'm also broadly interested in NLP, focusing recently on structured prediction and domain transfer.

Previously, I studied at the Cambridge Computer Laboratory and the University of Arizona, and interned with DeepMind, Microsoft Research, the Nara Institute of Science and Technology, and RWTH Aachen.

I'm grateful to be supported by a Google PhD Fellowship, and previously by Tencent AI Lab, Huawei/Berkeley AI, NDSEG and Churchill Foundation fellowships.

Email: dfried@cs.berkeley.edu
Links: CV Google Scholar Teaching
Daniel Fried