Summary
Desi Quintans is a statistical programmer based in Greater Sydney with 13 years' experience bridging ecology, microbiology, and clinical research to deliver large-scale, cost-effective science. With a PhD in plant–insect ecology and ongoing master's training in biostatistics, Desi specialises in working with extremely large and highly protected health datasets (EDC, APDC, MBS, PBS) within Trusted Research Environments and in preparing messy commercial and GP data for analysis. They build tools and reproducible R workflows that make complex spatial, linkage, and citizen-science datasets auditable and academically defensible, and have taught functional programming to researchers. Past roles range from DNA lab work and field insect ecology to web development and pastry kitchens, a mix that underpins a practical, detail-oriented approach to data problems. Notably, they have validated thousands of citizen-science observations and integrated multi-source spatial data to inform conservation and fire-response planning.
13 years of coding experience
7 years of employment as a software developer
The University of Sydney
Short course, Introduction to Big Data and Machine Learning, Completed, Short course, Introduction to Big Data and Machine Learning, Completed at Social Research Centre, Australian National University
Doctor of Philosophy - PhD, Plant-insect host specificity versus climate disruption, Doctor of Philosophy - PhD, Plant-insect host specificity versus climate disruption at Western Sydney University
Workshop, Causal Mediation Analysis, Completed, Workshop, Causal Mediation Analysis, Completed at Victorian Center for Biostatistics