Summary
Radu Zabet is a Reader in AI and Cancer Epigenetics based in London, combining 11 years of academic and industry experience in machine learning, explainable AI, mathematical biology and software development. He leads a lab that develops computational tools to analyse genomics datasets and unravel genome regulation, translating theoretical models into practical bioinformatics solutions. His career bridges foundational research—from postdoctoral and MRC fellowship work in epigenetics to faculty roles at Essex and Queen Mary—and earlier hands-on software engineering in industry, giving him rare fluency across code, models and biology. Known for applying explainable AI to cancer epigenetics, he blends rigorous quantitative methods with reproducible tool development to make complex genomic insights accessible to experimentalists.
11 years of coding experience
14 years of employment as a software developer
POLITEHNICA București National University for Science and Technology
PhD, Computer Science, PhD, Computer Science at University of Kent