2 trainers found

Expertise academic: Deep Learning  or Ecological Modelling 


Darya Vanichkina

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

Vanichkina Darya darya.vanichkina@sydney.edu.au Sydney, NSW, Australia 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 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://orcid.org/0000-0002-0406-164X
Robert Clemens

I sit within the EcoCommons Australia team who develop online tools for ecological modelling. We have training in how to learn to code in R or Python, in generating species distribution models or climate projections in an online environment.

Location: Based at Griffith University, EcoCommons Australia is a partnership between multiple organisations who are working to make Ecological modelling and data more FAIR.

Clemens Robert r.clemens@griffith.edu.au Based at Griffith University, EcoCommons Australia is a partnership between multiple organisations who are working to make Ecological modelling and data more FAIR. I sit within the EcoCommons Australia team who develop online tools for ecological modelling. We have training in how to learn to code in R or Python, in generating species distribution models or climate projections in an online environment. https://orcid.org/0000-0002-1359-5133