Track Opening - Scientific Python

Genevieve Buckley is a scientific programmer and data analyst, based in Melbourne Australia. A long time python user, she works on software development including equipment automation, big data handling, parallel programming, and computer vision. She is a maintainer for the open-source scientific python libraries napari and dask-image. Genevieve currently works at Monash University providing analysis support to scientific researchers at the Ramaciotti cryo-electron microscopy centre.

Kai Striega is a Melbourne-based software developer, data engineer, passionate advocate for Free and Open Source Software (FOSS) and pythonista. With a strong foundation in mathematics and years of experience in designing scalable systems, Kai brings technical precision and creative problem-solving to the forefront of their work. Kai enjoys pushing Python to the language's limits and volunteers as a maintainer of SciPy in addition to the larger scientific Python ecosystem.

Paige leads the User Training team at ACCESS-NRI and is working to build a comprehensive and impactful training framework for ACCESS-NRI tools to ensure that they are useful to the Australian climate modelling community. She enjoys engaging with users and supporting community-driven action around open-source, scientific tooling.

Paige is passionate about the idea of open science – that every step of our science should be made accessible and transparent to all. She has extensive experience in leading international capacity sharing activities, led the computing portion of a West African oceanography summer school (www.coessing.org) for many years, and has also been an organizer and mentor for Ocean Hack-week.

Paige has also been heavily involved in open science-related communities. She is a steering committee member of Pangeo – a community for big data geoscience – and OSSci – a community at the intersection of science and open-source software.

Paige was awarded a PhD in Physical Oceanography from the University of Michigan, and a postdoc in Climate Data Science at Columbia University. She previously worked as a Support Scientist at NASA.

When not behind a computer, Paige enjoys standing on her hands, doing partner acrobatics and aerial arts, performing in musical theater, and taking nature walks to look for birds.

Data scientist/air quality consultant with Environmental Technologies & Analytics. Bird nerd, former biologist, trained stats enthusiast. Bad but enthusiastic python programmer - I still think Rmarkdown blows Jupyter out of the water.

Charles is a Python Specialist within the Model Evaluation & Diagnostic Team at ACCESS-NRI. His role requires working on the usability & functionality of tooling researchers use to interact with & understand the output of earth system models.

Charles completed his PhD in Oceanography: Covariability of anthropogenic heat and carbon over the anthropogenic era, at the University of Southampton in 2022, as well as a MSci in Phsyics, Imperial College London, 2018. He developed an interest in writing Python & Julia libraries to analyse ocean observations.

After graduating, Charles moved to Perth seeking a sunnier climate, where he worked for two years in Air Quality, developing Python libraries & web apps to expedite analysis of environmental monitoring data for industry.

Charles enjoys a wide range of injury inducing hobbies including powerlifting, cycling excessive distances, rollerblading, ice & roller hockey, as well as some more sedate ones like walking the dog and fiddling with computers.