Hi, I’m Jon Gauthier. I’m a Ph.D. student in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology. I build computational models of how people learn, understand, and produce language. I collaborate with members of the Computational Psycholinguistics Laboratory and the Computational Cognitive Science Group, combining methods from artificial intelligence, linguistics, neuroscience, and philosophy.
Before joining MIT, I did research in natural language processing and machine learning at Stanford University in the Natural Language Processing Group, where I was advised by Christopher Manning. I also spent time as a researcher at OpenAI and Google Brain, where I mainly collaborated with Ilya Sutskever and Oriol Vinyals.
I had the good fortune to begin research at a young age, thanks to the generosity and support of my advisors and academic community. I’m interested in helping ambitious undergraduate students likewise break into the world of academia. Please get in touch!
Recent personal news
- Anna Ivanova and I are presenting our paper on brain decoding for language at CCN in September 2018.
- The Open Philanthropy Project has named me an AI Fellow. We’ll be collaborating to support the development of more interpretable, robust systems for language understanding, and the discussion of both short- and long-term potential risks of artificial intelligence.
- I joined the MIT Department of Brain and Cognitive Sciences in September 2017.
- Lucy Li and I presented our work on assessing distributional representations at ACL 2017 in August 2017.
- I visited NIPS 2016 in December 2016 and gave a talk on situated language learning at the Machine Intelligence Workshop.
- I gave a talk on the SPINN project at Google DeepMind in August 2016.
- Our paper on SPINN, a deep learning model for natural language understanding, has been accepted to ACL 2016. Sam Bowman and I presented the work at the conference in Berlin in August 2016.
(Find me on Google Scholar for an up-to-date list.)