Anastasia obtained a Bachelor’s degree in Biology (Greece) and a Master’s degree in Bioinformatics and Systems Biology (the Netherlands). She joined the Institute for Risk Assessment Sciences, Utrecht University, in May 2026 as a PhD candidate. Her research focuses on the multi-omic integration of exposome data employing machine learning to analyze complex associations with disease.
Within the Exposome-NL Anastasia is a PhD candidate who focuses on the application of machine learning to large-scale datasets. Her primary goal is to integrate multiple layers of omics data to uncover how environmental factors influence biological systems and disease onset.
I hope to uncover the bridge between environmental exposures and multi-omics genotypes that drive disease outcomes, leveraging machine learning approaches.
The environment we live in has a dominant impact on our health. It explains an estimated seventy percent of the chronic disease burden. Where we live, what we eat, how much we exercise, the air we breathe and whom we associate with; all of these environmental factors play a role. The combination of these factors over the life course is called the exposome. There is general (scientific) consensus that understanding more about the exposome will help explain the current burden of disease and that it provides entry points for prevention and ...
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