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3 trainer found

Expertise technical: web application frameworks 

Johanna Bayer

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

Bayer Johanna bayerj@student.unimelb.edu.au Melbourne 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. ["English", "German"] https://orcid.org/0000-0003-4891-6256
Nick May

Nicholas is an accredited software engineer with over thirty years of Information Technology experience, across a variety of roles, languages, systems and domains. The last thirteen years have been spent in the research domain, partly in a software architecture research group, but mostly helping...

Location: Melbourne, Australia

May Nick nmay@walroz.org Melbourne, Australia Nicholas is an accredited software engineer with over thirty years of Information Technology experience, across a variety of roles, languages, systems and domains. The last thirteen years have been spent in the research domain, partly in a software architecture research group, but mostly helping researchers with software and data projects and technology. More recently I have been actively engaged in the Research Software Engineering (RSE) community, as a member of the organising committee for the 2019 UK RSE conference, and as secretary of the RSE Association of Australian and New Zealand. ["English"] https://orcid.org/0000-0002-1298-1622
Sonika Tyagi

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

Tyagi Sonika sonika.tyagi@monash.edu Australia 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 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