Danny Fryer is a Senior Data Scientist in Melbourne with nine years’ experience building statistically rigorous data infrastructure and end-to-end analytics for large survey and research programs. At The Social Research Centre he doubled the throughput of Australia’s Life in Australia™ panel by redesigning workflows, integrations and modelling pipelines, and now focuses on predictive modelling and the responsible adoption of generative AI. He combines deep academic training (PhD in Statistics) and applied research—authoring and maintaining the rcosmo R package on CRAN and developing tools like studentlife—with extensive tertiary teaching and course design experience. Comfortable across data engineering, architecture and advanced statistics, Danny brings a methodological lens to practical production systems and a track record of turning complex research datasets into reproducible, scalable solutions.
9 years of coding experience
6 years of employment as a software developer
Doctorate (PhD) Statistics, Doctorate (PhD) Statistics at The University of Queensland
Bachelor of Science - BSc - with First Class Honours Mathematics and Statistics, Bachelor of Science - BSc - with First Class Honours Mathematics and Statistics at La Trobe University
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