Reader in Information Engineering (James Watt School of Engineering, University of Glasgow)
Online ProfileComputational Biology, AI
Honorary Visiting Professor (Research Track) (Department of Molecular and Clinical Cancer Medicine, University of Liverpool)
Dr. Umer Zeeshan Ijaz has been developing engineered systems and scientific software for over 23 years: He has a diverse portfolio (65+ research projects; £21M+ grant funding as principle/co-investigator, international participant; with authorship on over200+ publications), recently on microbial informatics involving machine learning and numerical ecology techniques. His major contributions in the past decade are towards: reducing error rates in NGS platforms for efficiently conducting sequencing based microbial community surveys; recovery of microbial genomes from mixed community soups; and developing dietary intervention strategies to reduce gut inflammation; and developing multivariate statistical platforms to understand how microbial communities assemble, their stability analyses, and how they relate to clinical outcomes. Dr Ijaz’s group has dedicated high-performance computing facility for bioinformatics analysis and data storage, Orion Cluster that is tailored towards microbial community surveys (~19 servers, ~500+ cores,~800TB disk space, and over 500 bioinformatics and visualisation tools and workflows) and serves as the backbone for this consortium.