Maria Ryskina she/they

Postdoc @ MIT studying how people and machines use language

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I am a postdoctoral researcher at the McGovern Institute for Brain Research at MIT, working with Ev Fedorenko and Kyle Mahowald. My research studies long-tail phenomena in language using methodologies from natural language processing, machine learning, linguistics, and cognitive neuroscience.

I completed my PhD in Language and Information Technologies at Carnegie Mellon University, where I was co-advised by Matt Gormley, Ed Hovy, and Taylor Berg-Kirkpatrick. Before that, I recieved my BSc and MSc degrees from the Moscow Institute of Physics and Technology and Skoltech. I had also spent time at MIT InfoLab (2015) and DiDi Labs (2020).

Outside of research, I sing with the MIT Concert Choir and am a core organizer at Queer in AI 🌈

news

Oct 19, 2023 The GenBench taxonomy and review article is now out in Nature Machine Intelligence!
Jul 10, 2023 I have been recognized as an outstanding reviewer at ACL 2023.
Jun 12, 2023 Queer In AI: A Case Study in Community-Led Participatory AI won 🏆 FAccT Best Paper Award!

selected publications

  1. Phonetic and Visual Priors for Decipherment of Informal Romanization
    Maria Ryskina, Matthew R. Gormley, and Taylor Berg-Kirkpatrick
    In Proc. Association for Computational Linguistics, 2020
  2. Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods
    In Proc. Society for Computation in Linguistics, 2020