Samaneh obtained her PhD in Computer Science from the University of Surrey in 2015. The focus of her PhD involved developing novel tensor factorisation techniques for source separation with application to EEG data. She then joined the Division of Evolutionary and Genomic Sciences at the University of Manchester as a research associate. She has worked on next-generation DNA sequencing using signal and image processing techniques coupled with unsupervised machine learning. Her research interests centre on the fields of multi-linear algebra, biomedical signal processing and machine learning.
During her time in HI Lab, Samaneh worked on CHI Lab's CRyPTIC project, funded jointly by the Bill and Melinda Gates Foundation and the Wellcome Trust. Her research focused on the prediction of antibiotic resistance in pathogens such as those that cause tuberculosis, in collaboration with the Centres for Disease Control (CDCs) of the UK, USA, China, and other nations.