Hannah is researching machine learning applications to better understand the genetics of cardiovascular disease - specifically applying machine learning to prioritise disease genes from genome-wide association studies. She has a background in biomedical science with previous experience in wetlab research. Her research and collaboration interests are in data science for improving biomedical data interpretation, multi-omic data integration, and reproducibility and ethics in data science.