Associate Professor Dimitri Perrin

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Centre Co-Director; Associate Professor, School of Computer Science

PhD in Computer Science (Dublin City University)

Dr Dimitri Perrin is Associate Professor in the School of Computer Science at the Queensland University of Technology, where he leads the Biomedical Data Science group (more details on biomedicaldatascience.com).

He is also a Chief Investigator in the QUT Centre for Data Science, co-leading the Health and Biological Systems Domain. As part of the Centre, he is also a Chief Investigator in the Next Generation Graduates Program (NGGP) on Sports Data Science & AI and in the  Australian Sports Tech Analytics & AI Research (AusiSTAR) Hub.

Prior to joining QUT, he worked as a FPR Fellow in the Laboratory for Systems Biology (RIKEN, Japan) and as an IRCSET Marie-Curie Research Fellow with the Centre for Scientific Computing & Complex Systems Modelling (Dublin City University, Ireland) and the Department of Information Networking (Osaka University, Japan).

His research interests are in developing new approaches to analyse, understand and optimise complex systems. His work therefore spans the areas of data science, artificial intelligence & machine learning, modelling, and computational biology & bioinformatics.

Recent projects include gene editing (CRISPR), artificial intelligence and machine learning in sports (rugby, baseball), high-resolution biomedical imaging (CUBIC), and mobile apps for health research.

Dimitri Perrin holds a Master’s Degree (Diplôme d'Ingénieur) in Computer Engineering from ISIMA (Aubière, France), a M.Sc. in Computing from Université Blaise Pascal (Clermont-Ferrand, France; now merged into Université Clermont-Auvergne), and received his Ph.D. in Computing from Dublin City University (Dublin, Ireland).

Additional information

Type
Funding Award
Reference year
2012
Details
Foreign Postdoctoral Fellowship (http://www.riken.jp/en/careers/programs/fpr/)
Type
Funding Award
Reference year
2010
Details
Complexity-NET grant (ERA-NET, FP6) for the Complexity of Interdependent Epigenetic Signals in Cancer Initiation (CIESCI) project.
Type
Funding Award
Reference year
2009
Details
IRCSET-Marie Curie International Mobility Fellowships in Science Engineering and Technology
Title
Deep Learning and Physiology Based Approach to Derive and Link Obstructive Sleep Apnoea Phenotypes and Symptomatology
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
2001729
Start year
2021
Keywords
Title
Safer gene editing tools for Australian livestock and biotech industries
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP210103401
Start year
2021
Keywords
Title
Understanding and Treating Videogame Addiction in Young People
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
2011768
Start year
2022
Keywords
addiction treatment; behavioural intervention; randomised controlled trial; Addictive Behaviours; prospective cohort study