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
I design and develop single- and multi-session technical training programs for learners. I'm also actively involved in STEM outreach.
Location: Kensington, Western Australia
BackhausAnnann.backhaus@pawsey.org.auKensington, Western AustraliaI design and develop single- and multi-session technical training programs for learners. I'm also actively involved in STEM outreach.["English"]https://pawsey.org.au
Multiple decades of experience in programming training, including web stack, SQL, Python and others.
Location: Christchurch, New Zealand
AngeloAntonanton.angelo@canterbury.ac.nzChristchurch, New ZealandMultiple decades of experience in programming training, including web stack, SQL, Python and others. ["English"]
Associate Professor of Epidemiology and Health Sciences specialising in Environmental Health and OneHealth/Planetary health, and Gene-Environmental Interactions
Location: Christchurch
BasuArindamarindam.basu@canterbury.ac.nzChristchurchAssociate Professor of Epidemiology and Health Sciences specialising in Environmental Health and OneHealth/Planetary health, and Gene-Environmental Interactions["English"]https://www.canterbury.ac.nz/education-and-health/contact-us/people/arindam-basu.htmlhttps://orcid.org/0000-0003-2326-2292
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
Database modelling for Humanities data, introductory and advanced use of the Heurist database infrastructure (HeuristNetwork.org)
Location: Sydney (typically November - February), Paris, France (typically March - November)
JohnsonIanian.johnson@sydney.edu.auSydney (typically November - February), Paris, France (typically March - November)Database modelling for Humanities data, introductory and advanced use of the Heurist database infrastructure (HeuristNetwork.org)["English", "French"]https://sydney.academia.edu/Johnsonhttps://orcid.org/0000-0003-3582-2138
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
Teaching short courses in geophysics, computational geoscience, finite element modelling in geoscience (especially geodynamics), groundwater models
Location: Canberra, Australia
MoresiLouislouis.moresi@anu.edu.auCanberra, AustraliaTeaching short courses in geophysics, computational geoscience, finite element modelling in geoscience (especially geodynamics), groundwater modelshttps://researchers.anu.edu.au/researchers/moresi-lhttps://orcid.org/0000-0003-3685-174X
Training lead for ADACS. Certified Carpentries instructor.
Location: Curtin Institute for Data Science, Curtin University, Perth, WA.
HancockPaulpaul.hancock@curtin.edu.auCurtin Institute for Data Science, Curtin University, Perth, WA.Training lead for ADACS. Certified Carpentries instructor.["English"]https://orcid.org/0000-0002-4203-2946
Simon works at Monash eResearch, where he teaches courses in Unix and High Performance Computing with Software Carpentry methods.
Location: Monash University
MichnowiczSimonsimon.michnowicz@monash.eduMonash UniversitySimon works at Monash eResearch, where he teaches courses in Unix and High Performance Computing with Software Carpentry methods.["English"]https://www.monash.edu/researchinfrastructure/eresearch
Dr. Sonika Tyagi is a Machine Learning lead scientist at Central Clinical School Monash University Australia. Her expertise is in developing new machine learning (ML) tools and pipelines, and applying these methods to solve biological and clinical research questions. Her current research focuses...
Location: Australia
TyagiSonikasonika.tyagi@monash.eduAustraliaDr. Sonika Tyagi is a Machine Learning lead scientist at Central Clinical School Monash University Australia. Her expertise is in developing new machine learning (ML) tools and pipelines, and applying these methods to solve biological and clinical research questions. Her current research focuses on integrative approaches to health informatics and genomics. Her group applies deep learning and natural language processing techniques to study genomes.
Sonika is a past member and contributor of ISCB Education COSI and chair/member of the GOBLET’s Standards, and EMBL-ABR and ABACBS’s education & training committees. She is currently a steering committee member of the Life Science Trainers group and affiliated with both Galaxy-Australia and Galaxy-India.["English"]https://orcid.org/0000-0003-0181-6258
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