I am a PhD student in the Natural Language Processing group at the University of Washington. My advisor is Luke Zettlemoyer. My interests are in natural language processing and machine learning. I am particularly interested in how to use language understanding to generalize and learn more efficiently. My recent work has focused on agents that read high level descriptions of environment dynamics to zero-shot new environments, semantic parsers that adapt to new databases by synthesizing high-quality data in the new databases, and dialogue agents that extract and edit domain specification text to help users achieve tasks in new domains. Previously, I worked on dialogue, question answering, semantic parsing, and knowledge base population. If you are looking to get in touch, please send me an email. Alternatively, you can find me on LinkedIn or Twitter.
For undergraduate students: I am happy to collaborate and/or answer questions about my research and UW NLP. If you are looking to collaborate, please email me a brief overview of your research interests (vague is ok), as well as your resume and transcript.
I am currently working part time as a visiting researcher at Facebook AI Research. I am honoured to be supported by the Apple Scholar in Artificial Intelligence and Machine Learning PhD Fellowship. Previously, I worked as research scientist at Salesforce Research (formerly MetaMind). I have a Master's degree in computer science from Stanford, where I worked on knowledge base population at the Stanford NLP Group. My advisor at Stanford was Chris Manning. I completed my undergraduate studies in the Electrical and Computer Engineering department at the University of Toronto, where I worked on problems ranging from line outage detection in smart grids to FPGA compilation. My advisor at the University of Toronto was Zeb Tate.