Scholar
Ryan Teehan
Google Scholar ID: mXo4IYQAAAAJ
NYU
Citations & Impact
Citations
6,607
H-index
10
i10-index
10
Publications
16
Co-authors
1
list available
Publications
Resume (English only)
Research Experience
- Prior to my PhD, I was involved in open-source deep learning research, contributing to Eleuther AI and serving as the Co-Chair of the Interpretability and Visualization Working Group in the HuggingFace BigScience program.
Education
- MS in Computer Science, 2018, The University of Chicago; BA in Mathematics, 2018, The University of Chicago.
Background
- Interests: Generative Models, Language as a Knowledge Representation, Program Synthesis, Compositionality, Emergence and Self-Organization, Reinforcement Learning. About Me: I am a current PhD student at NYU’s Center for Data Science, advised by Professor Mengye Ren. I am broadly interested in questions related to abstraction and reasoning in deep learning models.
