Yasin Memari is a Senior Bioinformatics Analyst with 12 years’ experience applying computational genomics, statistics and machine learning to cancer and population sequencing projects across leading UK institutions. Trained as a physicist and now a statistical geneticist, he has led GWAS, rare variant and somatic mutation analyses, co-led deployment of OpenCGA for cancer variant storage, and won a DREAM Challenge for predictive biomarker discovery in AML. His background spans petabyte-scale workflow automation and data QC at the Wellcome Sanger Institute through to pipeline development and teaching machine learning at the University of Cambridge. Comfortable in both research and operational settings, he blends deep quantitative rigor with practical software engineering and is open to consultancy. An underappreciated strength is his cross-disciplinary fluency—from high-energy physics training to hands-on bioinformatics—enabling creative problem solving in complex genomic data environments.
12 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics and Astronomy, Doctor of Philosophy (Ph.D.), Physics and Astronomy at The University of Edinburgh
Diploma, High Energy Physics, Diploma, High Energy Physics at International Centre for Theoretical Physics (ICTP)
Successive PhD Program, Physics, Successive PhD Program, Physics at Institute for Advanced Studies in Basic Sciences, Zanjan
Contributions:145 commits, 67 pushes in 3 years 7 months
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