Nefeli Gkouti

Nefeli's research interests include machine learning and causal AI. Specifically, her research will focus on areas such as causality and interpretability in machine learning, multimodal and generative models and their application in healthcare.

Nefeli holds an MSc degree in Computer Science from the Department of Informatics of the Athens University of Economics and Business, with specialization in machine learning, and a Bachelor degree from the Department of Mathematics of the National and Kapodistrian University of Athens.
She has research and work experience in designing and developing machine learning models.  Her MSc thesis was about the effects of stochastic gradient descent variants on Transformer models for natural language processing tasks. She has also collaborated with NCSR “Demokritos” as researcher, taking part in a project related to the design and development of an application, mapping audio to subtitles.

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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