Summary
Michael Imelfort is a mathematically trained software engineer and former scientist with over a decade of hands-on experience building data-driven systems, pipelines and visualization tools across research and commercial settings. He specializes in large-scale data analytics, scientific computing and automation, with deep expertise in Python, Linux administration and cloud-first CI/CD for genomics and mapping workflows. His background spans algorithm development, infrastructure as code and end-to-end pipeline testing—skills honed while building a cloud-native genomics stack using Nextflow, Docker and AWS and managing >100-node Linux clusters. A long-time organiser of Brisbane’s HealthHack, he blends technical delivery with community leadership and an appetite for pragmatic, reproducible engineering in research-style environments. Notably comfortable operating at every layer of the data stack, he’s equally at home optimizing resource usage as designing algorithmic test harnesses for complex pipelines.
12 years of coding experience
7 years of employment as a software developer
PhD, Bioinformatics, PhD, Bioinformatics at The University of Queensland
B.Sc, Applied Mathematics and Statistics, B.Sc, Applied Mathematics and Statistics at Griffith University