Description: NLP Researcher at Johns Hopkins University
I’m a PhD student at Johns Hopkins University advised by Benjamin Van Durme . I’m interested in applying natural language processing to build useful software around large amounts of data. I’ve worked on projects in machine translation, cross-lingual document understanding, and domain adaptation. I’ve recently become interested in building secure, private, and efficient tools around large scale NLP models.
Before coming to Johns Hopkins, I worked with the research group at Microsoft Translate . My undergraduate degree is from Georgia Tech where I worked in Jacob Eisenstein’s lab. I also spent lots of time organizing educational events and campus outreach groups .
I recently interned at Microsoft Semantic Machines . My other work experience includes research at Microsoft Translate (working under Hany Hassan) and undergrad SWE internships at Microsoft and a quantitative trading firm. I’m interested in opportunities around machine translation, large scale dataset curation, constrained generation, or other exciting research problems in NLP - please reach out!