Summary
Kerensa Mcelroy is a Research and Data Scientist at CSIRO with nine years’ experience applying rigorous, reproducible data analysis and test-driven code to evolutionary genomics and applied agricultural data programs. Trained to PhD level in biomathematics and bioinformatics, she blends deep domain research—published work on the evolution of birds, bacteria and viruses—with practical tooling and open-source contributions in Python (including work on ShoRAH). At CSIRO she leads the Agriculture and Food Data School, designing curriculum and mentoring researchers in advanced data practices, high-performance computing, and collaborative software workflows. A committed science educator and communicator, she teaches Software Carpentry globally and publishes for broad audiences via COSMOS and ABC Radio. Kerensa’s practice emphasizes FAIR data, reproducible pipelines and inclusive digital literacy—an approach that turns complex genomic questions into transparent, teachable analyses.
9 years of coding experience
Masters of Infections Biology and Epidemiology, Molecular Genetics, Masters of Infections Biology and Epidemiology, Molecular Genetics at Swiss Tropical and Public Health Institute
The University of Melbourne
UNSW Sydney