Adeline is a Skills Development Lead (Learning Design) at the Australian Research Data Commons. She has a background in teaching and curriculum design across a range of educational contexts in Australia and overseas.
Location: Sydney, Australia
WongAdelineadeline.wong@ardc.edu.auSydney, AustraliaAdeline is a Skills Development Lead (Learning Design) at the Australian Research Data Commons. She has a background in teaching and curriculum design across a range of educational contexts in Australia and overseas. ["English", "Chinese"]https://orcid.org/0000-0002-9135-4757
Giorgia is a Data Science Trainer at the Sydney Informatics Hub (SIH), University of Sydney. She has a background in microbiology and bioinformatics. She is a Software, Data and Library Carpentry instructor, and she has been supervising, teaching and training staff and students in the development...
Location: Sydney, Australia
MoriGiorgiagiorgia.mori@sydney.edu.auSydney, AustraliaGiorgia is a Data Science Trainer at the Sydney Informatics Hub (SIH), University of Sydney. She has a background in microbiology and bioinformatics. She is a Software, Data and Library Carpentry instructor, and she has been supervising, teaching and training staff and students in the development of computational skills for conducting efficient and reproducible research. She volunteers in diversity initiatives (RLadies, PyLadies) to support the representation of gender minorities in the programming community.["English", "Italian"]https://orcid.org/0000-0003-3469-5632
I work at the Australian Research Data Commons (ARDC) leading the Skilled Workforce Development team concentrating on projects and activities that work towards a national skills agenda that is cohesive and coordinated.
Location: Melbourne, Australia
UnsworthKathrynkathryn.unsworth@ardc.edu.auMelbourne, AustraliaI work at the Australian Research Data Commons (ARDC) leading the Skilled Workforce Development team concentrating on projects and activities that work towards a national skills agenda that is cohesive and coordinated.["English"]https://orcid.org/0000-0002-5407-9987
Meirian is the Skills Development Lead (Services) at the Australian Research Data Commons (ARDC). She has experience in teaching tertiary Mathematics and Statistics at the University of Melbourne, and has also trained researchers in Digital Skills with the Melbourne Data Analytics Platform...
Location: The University of Melbourne
Lovelace-TozerMeirianThe University of MelbourneMeirian is the Skills Development Lead (Services) at the Australian Research Data Commons (ARDC). She has experience in teaching tertiary Mathematics and Statistics at the University of Melbourne, and has also trained researchers in Digital Skills with the Melbourne Data Analytics Platform (MDAP). Her primary areas of interest include Education, Data Analysis, Operations Research, Programming, and Statistics. Meirian loves teaching and is enthusiastic about enabling others to benefit from the skills that she teaches.["English"]
Scientific Programmer at the University of Otago. A Carpentries Instructor and Instructor Trainer.
Location: University of Otago
CadzowMurraymurray.cadzow@otago.ac.nzUniversity of OtagoScientific Programmer at the University of Otago. A Carpentries Instructor and Instructor Trainer.["English"]https://orcid.org/0000-0002-2299-4136
I'm a PhD student at Biomedicine Discovery Institute, Monash University with a strong Bioinformatics background and interest in cancer research. I work as a Bioinformatician with the Monash Bioinformatics Platform, where I work with a variety of biological datasets such as RNA-seq, single-cell...
Location: Clayton, Victoria, Australia
KandhariNitikanitika200492@gmail.comClayton, Victoria, AustraliaI'm a PhD student at Biomedicine Discovery Institute, Monash University with a strong Bioinformatics background and interest in cancer research. I work as a Bioinformatician with the Monash Bioinformatics Platform, where I work with a variety of biological datasets such as RNA-seq, single-cell RNA-seq, ChIP-seq and ATAC-seq.
I love travelling, trekking and trying out different cuisines.["English", "Hindi", "Panjabi; Punjabi"]https://orcid.org/0000-0002-0261-727X
I have worked in IT as a developer, software engineer, analyst and project manager for 20+ years. I'm currently working for James Cook University and QCIF as an eResearch Analyst. I primarily instruct the Python and Git training courses but plan on branching out. I'm very interested in ways to...
Location: Townsville, North Queensland
LawreyPaulinepauline.lawrey@jcu.edu.auTownsville, North QueenslandI have worked in IT as a developer, software engineer, analyst and project manager for 20+ years. I'm currently working for James Cook University and QCIF as an eResearch Analyst. I primarily instruct the Python and Git training courses but plan on branching out. I'm very interested in ways to help researchers after that introductory training session and training development.["English"]https://www.qcif.edu.au/support/eresearch-analysts/
Stereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range...
Location: GitHub
LangloisTimtim.langlois@uwa.edu.auGitHubStereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range measurements and can be used to study spatial and temporal patterns in fish assemblages (McLean et al., 2016), habitat composition and complexity (Collins et al., 2017), behaviour (Goetze et al., 2017), responses to anthropogenic pressures (Bosch et al., 2022) and the recovery and growth of benthic fauna (Langlois et al. 2020). It is important that users of stereo-video collect, annotate, quality control and store their data in a consistent manner, to ensure data produced is of the highest quality possible and to enable large scale collaborations. Here we collate existing best practices and propose new tools to equip ecologists to ensure that all aspects of the stereo-video workflow are performed in a consistent way.["English", "French"]https://globalarchivemanual.github.io/CheckEM/index.htmlhttps://orcid.org/0000-0001-6404-4000
