Umar is a computational biologist with a keen interest in interdisciplinary high-throughput science and modelling of big data using bayesian, frequentist and graph theory based approaches. He trained as a medical doctor in his undergraduate degree with a keen interest in research. His formal training in bioinformatics includes an MSc in Bioinformatics with distinction from Leicester University and a PhD in Bioinformatics from Manchester University. He worked as a research faculty at National University of Sciences and Technology, Pakistan with Dr. Jamil Ahmad in systems biology, developing models to explain the role of TLR4 based innate immunity network in developing hyperinflammation in cerebral malaria after securing research funding from the The World Association of Scientists (TWAS – Italy). His postdoc research experience includes: a BBSRC Postdoctoral Research Associate at Aberystwyth University, working on the epigenetic profiling of Schistosoma mansoni and its intermediate host Biomphalaria glabrata (BG) genomes where he developed a new statistical model DISMISS (BMC Bioinformatics) for epigenome profiling; and a NIHR postdoc for the Health Protection Research Unit (HPRU in Respiratory infections) for Imperial College London and Public Health England where he and colleagues discovered a new two gene biomarker for diagnosis of active tuberculosis after developing a statistical variable selection pipeline. He is currently developing network based clustering methodologies that allow integration of prior experimental knowledge with the current experiment with applications in providing a global overview of the disease process, integrating multiple datasets, variable selection and generating new hypotheses.