Mudassar Iqbal

Mudassar Iqbal holds the position of Senior Lecturer in Health Data Sciences within the Division of Informatics, Imaging & Data Sciences. His research focuses on integrating computational methods with biological data to study gene regulatory networks, circadian rhythms, and cancer biology.

He earned a Doctor of Philosophy from the University of Kent in 2009, specializing in machine learning applications for protein-protein interaction prediction. His work contributes to UN Sustainable Development Goals related to health and innovation.

Key research interests include spatial transcriptomics, single-cell multiomics analysis, and computational modeling of biological systems. His recent studies explore age-related gene networks in AML, chronotype associations with psoriasis, and algorithm development for integrating imaging and genomic data.

He collaborates internationally on projects analyzing gene expression, circadian biology, and cancer genomics. His methods like CellPie and TriTan advance scalable tools for spatial and multi-omics data analysis. Research affiliations include the Digital Futures, Lydia Becker Institute, and Christabel Pankhurst Institute.

He has supervised three academic works and published widely in journals like Nucleic Acids Research and eLife, focusing on bioinformatics-driven discoveries in health and disease.