Danai Vagiaki | PhD Candidate
I am passionate about translational research and wish that my work will contribute to the development of more effective treatments and preventive measures for human diseases.
As a PhD student in the Stegle group, I am studying the effect of genetic variants on molecular phenotypes, such as gene expression, using both traditional statistical approaches, but also developing novel interpretable methods based on deep-learning to facilitate mapping of those genetic effects at the single-cell level and in population-scale datasets.
I have an educational background in Bioinformatics (MSc), and three years of practical experience in working with patient electronic health records, including devising deep learning models to predict disease risk. I also have a BSc degree in Biology, including a specialisation in human genetics and molecular biology, particularly eukaryotic DNA transcription and repair.
Outside the office, I enjoy cycling, dancing, strength and HIIT training, brunches, and visiting new places (and taking many photos of them :D).