I pursued a degree in Bioinformatics (MSc) at the University of Hamburg after studying Computer Science (BSc) focussing on genome informatics, data mining, and machine learning. Currently, I am a BHF/CRE PhD student in Dr Gräf’s Computational Genomics and Medicine research group at the University of Cambridge with the quest to explore the non-coding space in the genomic data sets, generated by the NIHR BioResource - Rare Diseases (NIHRBR-RD) 13,000 genomes project, via Deep Learning. Recent papers have shown inference from genomic sequence to regulatory markers can be achieved through deep learning. By combining a WGS dataset with cell-type-specific data, we can adjust existing models as well as develop new architectures and increase both their predictive power and accuracy.
