Duygu Ataman

Duygu Ataman

Assistant Professor of Computer Science

New York University

I am an assistant professor and faculty fellow at the Department of Computer Science, Courant Institute of Mathematical Sciences, New York University. My research interests include studying generalization in artificial intelligence systems, particularly generative models, through self-supervised and multi-task learning methods. I also actively work on developing resources and methodology for low-resource natural language processing.

The main goal of my research is extending the applicability of language technologies in more languages and tasks. Language technology is a highly promising tool with the potential of transforming how we use and benefit from education and the media, although state-of-the-art approaches are still not competitive enough to be deployed in a large portion of the world languages. This problem is related to the nature of assumptions made in formulating the statistical language models that usually fail to generalize to languages with various syntactic typology, in particular the ones with relatively high data sparsity. I find this highly constrained design problem quite intriguing due to its potential in benefiting a tremendous amount of future applications; at the same time, in line with my background in engineering, where I had specialised on developing optimized software solutions for real-time computation-intensive multimedia technology. Previous to joining the New York University, I was a post-doctoral researcher and lecturer at the University of Zürich, and an applied research scientist intern at the Amazon Alexa research, where I worked on developing novel methods for improving generative models in low-resource and morphologically-rich languages.

  • Artificial Intelligence
  • Multimedia Technology
  • Computational Linguistics
  • Ph.D. in Information Engineering and Computer Science, 2019

    University of Trento

  • Ph.D. in Informatics (Visiting Post-graduate Student), 2018

    University of Edinburgh

  • M.Sc. in Embedded Systems and Multimedia Technology, 2015

    University of Leuven

  • B.Sc. in Electrical and Electronics Engineering, 2013

    Middle East Technical University


Memberships and Scholarly Work



I am frequently looking for students who have strong interest in mathematics or machine learning to conduct research on natural language processing. If you’re from New York University and interested in working with me you can contact me via e-mail to inquire about potential projects. Students from other universities are welcome to join a meeting of the ACL SIGTURK research group or the Multilingual Representation Workshop where you can discuss your ideas and have the chance to collaborate with a large community of researchers working on developing methods and resources for low-resourced NLP. Please enlarge to see current and past students.