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
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 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.
Outside of research, I enjoy running, reading, and cooking. I was a trombonist for more than 10 years, most recently with the University of Toronto Skule Stage Band. I am also an amateur photographer.