Flagship project
Genome curation
Predicting neighbouring genome fragments and the ends that connect them, using contact images and graph learning.
Explore Genome curation
Machine learning · Genomics · Bioinformatics
Muhanad Tuameh
Machine learning for scientific data, from genome curation to tissue images and language.
I am an Informatics and Digital Associate at the Wellcome Sanger Institute, building machine learning for genome curation. I work with large data, train and compare model architectures, and present results clearly to non-technical stakeholders.
Selected work
Flagship project
Predicting neighbouring genome fragments and the ends that connect them, using contact images and graph learning.
Explore Genome curation
Finding tumour regions in tissue images with U-Net, alongside CNN and ResNet patch classifiers.
View project : Tumour segmentation
Clustering bacterial transcripts on human lung tissue to find and label colonies, from 10x Xenium spatial data.
View project : Mapping bacterial coloniesGenerating plausible wrong answers for multiple-choice questions with DistilBERT, spaCy, and T5.
View project : Question answering & distractorsCV / Contact
Cambridge, UK.