Dr Darya Vanichkina is a Data Science Consultant and Analytics Trainer at the University of Sydney’s Informatics Hub (SIH). She delivers impact through solving research questions using big data, programming, machine learning, high performance & cloud computing. Darya develops and delivers...
Location: Sydney, NSW, Australia
VanichkinaDaryadarya.vanichkina@sydney.edu.auSydney, NSW, AustraliaDr Darya Vanichkina is a Data Science Consultant and Analytics Trainer at the University of Sydney’s Informatics Hub (SIH). She delivers impact through solving research questions using big data, programming, machine learning, high performance & cloud computing. Darya develops and delivers materials, and trains others to do the same by leading the SIH data science training program, coaching and mentoring other data scientists in the team via workshops and guidance around evidence-based training practices. Darya holds a PhD in Genomics and Bioinformatics and is a Fellow of the UK HEA.["English", "Russian"]https://daryavanichkina.comhttps://orcid.org/0000-0002-0406-164X
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 am a postdoc using machine learning on large neuroimaging data and to make predictions in the filed of mental health. Python, R, Matlab, Stan, front-end dev, Git, Research Software Engineering.
Location: Melbourne
BayerJohannabayerj@student.unimelb.edu.auMelbourneI am a postdoc using machine learning on large neuroimaging data and to make predictions in the filed of mental health. Python, R, Matlab, Stan, front-end dev, Git, Research Software Engineering.["English", "German"]https://orcid.org/0000-0003-4891-6256
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
