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Event date and time

Thursday 25 Feb 2021
9:30 am AWST | 11:30 am AEST | 12:30 pm AEDT


Online virtual event
Zoom login details will be provided to registrants


As part of the Pawsey Supercomputing Centre’s new bi-monthly “Supercomputing Series”, you will hear from bioinformaticians, as they discuss possibilities of the new capabilities at the Centre.

This event will also see the creation of a Community of Practice (CoP) where practitioners at scale can connect and discuss topics of interest, share best practices, and help answer each other’s questions on bioinformatics and HPC.

Please register in advance for this webinar.

After registering, you will receive a confirmation email containing information about joining the meeting from Zoom.

If you have any issues with registering or do not receive the Zoom details upon registration, please email us at


  • Free

Dates and Times

Event date: Feb 2021

Thursday 25 Feb 2021

Online virtual event

9:30 am AWST | 11:30 am AEST | 12:30 pm AEDT

Zoom login details will be provided to registrants

This event has occured

More information


  Dan Jacobson

Dan Jacobson – Chief Scientist for Computational Systems Biology at Oak Ridge National Laboratory

Dan’s research focuses on understanding the complex sets of interactions of molecules of all types (across all omics layers) in cells that lead to phenotypes, traits and disease states in organisms and how all of that is conditional on the surrounding environment. His research team applies these approaches to grand challenges in bioenergy, sustainable agriculture, ecosystems and human health (and the intersections among those areas).

His group takes a broad view of biological complexity and evolution that stretches from viruses to microbes to plants to humans. Oak Ridge National Laboratory (ORNL) is home to some of the world’s largest supercomputers, and thus Dan’s lab uses petascale and exascale computing to analyze and model complex biological systems.

Dan’s team was the first group to break the Exascale barrier and is happy to have done so for a biology project. At present, this (2.41 Exaops) calculation is the fastest scientific calculation ever done anywhere in the world. This project led to his team being awarded the 2018 Gordon Bell Prize (the first ever for Systems Biology).

Dan’s lab is doing a range of research to address the COVID-19 pandemic, including studies of the molecular evolution and pathogenic elements of coronaviruses, molecular mechanisms for human pathogenesis (and identification of potential new therapies), environmental variables that affect COVID-19 disease outcomes and the prediction and prevention of future zoonotic spillovers/pandemics. For this work, Dan has been awarded the 2021 Secretary of Energy’s Achievement Award (the highest award given by the US DOE) and the 2020 HPCwire Top HPC-enabled Science Award.

  Nicola Armstrong

Nicola Armstrong – Associate Professor in Data Science, Curtin University

Nicola recently started at Curtin University as an Associate Professor in Data Science. She is a statistical bioinformatician who completed her doctoral studies in Statistics at the University of California, Berkeley. After graduating with her PhD, she spent several years in the Netherlands as a postdoc at Eurandom and the Vrije Universiteit before moving to the Netherlands Cancer Institute in Amsterdam as a senior statistician.

Nicola’s work focuses on human disease, developing and applying statistical methods for the analysis and integration of high-throughput genomic and epigenomic data to understand how the development of complex diseases and ageing processes vary between individuals.

  Philipp Bayer

Philipp Bayer – Postdoctoral researcher and Forrest Fellow, School of Biological Sciences at The University of Western Australia

Philip is a new DECRA fellow at the University of Western Australia. He was one of three inaugural Forrest Fellows and completed his Fellowship in the lab of Prof Dave Edwards at UWA.

Philipp’s work focuses on crop pangenomics, where he searches genome sequencing datasets of hundreds to thousands of crop individuals for novel genes or markers of interest to farmers and the ag sector. Philipp has been a long-time user of Pawsey’s systems. You can learn more about his research in this short video – Supercomputing to unlock the path of least resistance.