Rita Kuznetsova, Ph.D.

Post Doc


My main research interests are the representation learning across domains and exploring the structure of the resulting representations.

I was a PhD candidate at Moscow Institute of Physics and Technology, also I acquired the bachelor and master degree at the same university. During this period I was also a part of the biggest and most known company in Russia and CIS for plagiarism detection (Antiplagiat company).  Throughout this time I was working on deep learning applications in natural language understanding and machine translation tasks. Also I was working on a combination of metric learning approach with probabilistic generative models. In 2018 I was hired as a postdoc in IBM Research Zurich lab where my main duties were to create unsupervised approaches for Named Entity Recognition and Relationship Extraction. Then I joined the Rätsch lab in October 2020.