Mark Dunning is a senior bioinformatics and data science educator with over a decade of applied experience and two decades of combined analysis and teaching across academic and research settings. He has led core bioinformatics services at the University of Sheffield and developed training programs for Cancer Research UK, pairing hands-on NGS and microarray analysis with reproducible pipeline development. Currently appointed as a Senior Teaching Fellow at Imperial College London and actively seeking new roles, he blends deep domain knowledge from a PhD in Oncology with formal training in data analysis and nonlinear dynamics. Colleagues know him for turning complex genomic workflows into teachable, automated processes that empower wet-lab scientists to analyse their own data. Based in Sheffield, he also maintains a persistent research identity via his ORCID record, reflecting a commitment to open scholarship and reproducible science.
12 years of coding experience
8 years of employment as a software developer
PhD Oncology, PhD Oncology at University of Cambridge
Master of Science (MS) Data analysis Networks and Nonlinear Dynamics, Master of Science (MS) Data analysis Networks and Nonlinear Dynamics at University of York
Contributions:4 releases, 158 commits, 140 pushes in 3 years 5 months
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Mark Dunning - Senior Teaching Fellow at Imperial College London