Data Analysis and Engineering
Genomic Surveillance Unit
About us
We are a group of bioinformaticians, data scientists, and data engineers who create the software, data processing pipelines, analysis workflows, and reports that make genomic data available for public health decision making. A key driver for our team is the delivery of actionable data in real time, and we are passionate about creating efficient, reliable and well-engineered products and processes.
Our work
Our work spans bioinformatics, data curation, engineering, and analysis. We are product-oriented and our approach focuses on agile delivery. Working across surveillance streams and disease areas in the Genomic Surveillance Unit, we:
- Develop and maintain robust, high-quality bioinformatics data-processing pipelines and apply them to large genomic datasets to deliver analysis-ready data to partners.
- Perform in-depth analysis on genomic datasets to address questions posed by public health programmes, and drive methodological improvements of our laboratory and analytical workflows.
- Collaborate in the creation of high-quality data resources (like Pf7 for malaria parasites) that are impactful for both public health and act as a foundation for discovery research.
- Develop highly scalable tools and processes that import and standardise data from dozens of external sources, enabling seamless integration with sequence data generated by the GSU.
- Develop efficient data upload tools and processes for submission of GSU data to key public genomic data repositories (e.g. the European Nucleotide Archive).
Core team
Bruhad Dave
Bioinformatician
Katherine Figueroa
Principal Bioinformatician
Dr Matthew Forbes
Principal Bioinformatician
Andrea Frick-Kretschmer
Senior Bioinformatician
Tom Maddison
Bioinformatician
Dr Frank Schwach
Principal Bioinformatician
Mr Christiaan Gerhardus Viljoen
Principal Data Engineer
Dr Antonio Marinho da Silva Neto
Senior Bioinformatician
Previous core team members
Dr Kim Judge
Bioinformatician
Naga Morisetti
Principal Data Engineer
Mr Simon Suddaby
Bioinformatician