Yenisel is a researcher at BISS. She has a strong affinity with research and projects having a social impact. Research questions that Yenisel is working on are ‘How to achieve transparency and interpretability for the different machine learning approaches and models?’ and ‘How can we benefit from freely available and reusable data to perform data science analysis that provide insights with direct impact to social good?’. Other research questions that have Yenisel’s attention are ‘How to develop machine learning and data science approaches for small data?’ and ‘How to create computationally efficient machine learning?’.
She delivers research results by making use of the current artificial intelligence (AI) applications, machine learning, and data science analysis. Sometimes additional tools are developed to do a deeper analysis and make results more transparent and interpretable for users.
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