Scholar
Nicholas Tomlin
Google Scholar ID: zV5vhUcAAAAJ
TTIC
Citations & Impact
Citations
504
H-index
8
i10-index
7
Publications
16
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Papers can be found on his website under the 'Papers' section.
Research Experience
- Currently a Faculty Fellow at NYU Center for Data Science, and incoming Assistant Professor at TTIC. Previously part of the Berkeley NLP Group.
Education
- PhD from UC Berkeley EECS, advised by Dan Klein; Undergraduate from Brown University, majoring in math and linguistics, advised by Ellie Pavlick.
Background
- Research interests include natural language processing, computational cognitive science, linguistics, reinforcement learning, human-computer interaction, and AI safety. Main focus is on improving AI capabilities, such as building models that can learn efficiently from limited data, training models optimized to collaborate with humans, and explaining complex model behavior in a human-interpretable way.
Miscellany
- Blog provides more information about future research plans.
Co-authors