Ivana Beňová

Research areas: natural language processing, machine learning, deep learning

Position: PhD Student

Ivana is a research assistant, part of the NLP team, about to work on the issues of low-resource language processing, transparency and explainability of NLP or multimodal content processing. Her academic interests are machine learning and deep learning.

She holds a Masters’ degree in Mathematical Economics, Finance and Modelling from the Comenius University in Bratislava, Faculty of Mathematics, Physics, and Informatics where she graduated with honors. She focused on mathematical modelling, which consisted of time series analysis, optimization, data dimensionality reduction or categorization and classification of data. During her studies, she participated in CFA Research Challenge, an annual global competition in financial analysis, where the school team placed 2nd in the Czech-Slovak round. She also participated in faculty’s Student Science Conference 2021 with her Master thesis: Generation of origin-destination matrices in transport modelling.