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Dora D

- Research Program Mentor

PhD candidate at Stanford University


computational linguistics, analysis of textual data, application of computational linguistic tools to social science questions


Hello there! I'm Dora, a second-year PhD student in Linguistics at Stanford University. I'm originally from Budapest, Hungary, where I finished high-school before starting college at Princeton University. I graduated from Princeton with a degree in Linguistics and a minor in Computer Science. My main research area is Computational Linguistics. I am interested in applying quantitative methods to study texts (e.g. from social media, newspapers, books) at a large scale to better understand language and answer social scientific questions.

Project ideas

Project ideas are meant to help inspire student thinking about their own project. Students are in the driver seat of their research and are free to use any or none of the ideas shared by their mentors.


Study how politeness, kindness and other behavioral phenomena are expressed differently across languages (e.g. English vs Mandarin Chinese), by using large-scale datasets.

Social Media and NLP

Study data from social media to better understand how, when and why do people change their opinions (e.g. about immigration, globalization).

Coding skills

Python, Java, Javascript


Work experience

Google (2019 - Current)
AI Research Intern


Princeton University
BA Bachelor of Arts (2017)
Linguistics and Computer Science
Stanford University
PhD Doctor of Philosophy candidate
Computational Linguistics

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