ONLINE WEBINAR

Smarter Reporting with Quarto: Automate, Reproduce, Share

24 September 2026
10am AWST (Perth) | 12pm AEST (Sydney) | 2pm NZST (Auckland)

23 September 2026
7pm PDT (Vancouver) | 10pm EDT (New York)

 

30min speed webinar followed by an optional 15min Q&A

Are you or your team spending too much time producing recurring reports? Are your reports difficult to reproduce, maintain and keep up to date? Quarto — Posit's successor to R Markdown — might be the perfect tool for you. The freely available, open-source publishing framework excels at turning data and analytical outputs into automated, reproducible reporting.

In this webinar, our team at Epi will show you how Quarto helps users create reports, articles, presentations and web-based publications directly from analytical workflows. We’ll show how it can easily be integrated into existing data environment and reduce the manual effort involved in producing regular scientific and technical outputs.

We will share applied examples from our recent work developing automated reporting for freshwater ecosystem health monitoring. This will include both regional and national summary reports generated directly from complex and bespoke analytics.

Finally, we will look at where automated reporting fits within a broader data and reporting strategy. In what scenarios is Quarto the right tool, when more interactive R Shiny applications are the better choice and how the two can be used alongside each other to maximise impact.

Speakers

Dr Kiel Hards 

Data Science Lead | Epi 

PhD (Microbiology & Immunology); BSc(Hons) (Microbiology & Immunology)

Kiel is an experienced data scientist who builds cloud-native analytics pipelines and applies generative AI to real-time intelligence challenges. He has delivered national threat-monitoring platforms, automated global information feeds, and prototyped LLM-powered recommenders that surface critical insights faster. Backed by 45 + peer-reviewed publications and stewardship of multi-million-dollar research programmes, he combines scientific rigour with production engineering across Python, R and SQL. 

Dr Petra Muellner 

Director (Science & Data) | Epi 

Dr. med. vet., MSc (Public Health Epi), PhD, Dipl ECVPH, MANZCVS (Epidemiology)

An epidemiologist with a strong academic background, Petra’s career has taken her all over the globe and all over the spectrum of human, animal and environmental health. Working as a consultant for the Food and Agricultural Organisation of the United Nations for over a decade and collaborating with a large number of research groups and policy makers she has learned to work within diverse environments and effectively bridge the gap between disciplines. She is passionate about connecting data and analytical models with people and making both research and the most complex of data accessible and easy to explore. Petra’s unique skills in empowering teams and their stakeholders to create intelligence and impact are core to the way we work with you.

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