Summary
Athanasios Kousathanas is a Principal Genomics Data Scientist based in London with nine years’ experience translating statistical genetics and bioinformatics research into large-scale, clinically relevant analyses. He leads end-to-end projects at Genomics England—designing GWAS, multi-omics experiments, and cloud-enabled workflows for Pharma collaborations—while managing teams of data scientists and bioinformaticians. His work spans Bayesian method development for complex-trait prediction and time-to-event association, ancestry and relatedness inference from WGS, and discovery in oncology using germline and tumor genomes. Notably, he has applied novel probabilistic and ABC-based approaches to ancient DNA and viral evolution datasets, reflecting a rare blend of population-genetics theory and practical large-cohort analysis.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Statistical Population Genomics, Doctor of Philosophy (PhD), Statistical Population Genomics at The University of Edinburgh
Bachelor's degree, Biology/Biological Sciences, General, First, Grade: Excellent (8.62/10), Bachelor's degree, Biology/Biological Sciences, General, First, Grade: Excellent (8.62/10) at University of Ioannina
1-year diploma thesis research, Bioinformatics, Grade: Excellent, 10/10, 1-year diploma thesis research, Bioinformatics, Grade: Excellent, 10/10 at University of Crete
Greek, English, French