Associate Professor
Dimitri Perrin

Profile image of Associate Professor Dimitri Perrin

Faculty of Science,
School of Computer Science


Personal details

Positions

Associate Professor
Faculty of Science,
School of Computer Science

Keywords

Data Science, Complex Systems, Bioinformatics, Computational Biology, Modelling and Simulation, CRISPR, Parallel Computing, Next-Generation Sequencing, Applied Machine Learning, Biomedical Imaging

Discipline

Artificial Intelligence and Image Processing, Other Information and Computing Sciences, Biochemistry and Cell Biology

Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Qualifications

  • PhD in Computer Science (Dublin City University)

Teaching

Dr Dimitri Perrin has extensive experience in teaching, recognised by a Senior Fellowship of the Higher Education Academy (2020).

 

Current teaching:

  • IFN564: Data structures and algorithms
  • IFN646: Biomedical Data Science
  • IFN703/4: Advanced Project / Advanced Project 2

Publications

QUT ePrints

For more publications by Dimitri, explore their research in QUT ePrints (our digital repository).

View more publications

Awards

Research projects

Supervision

Current supervisions

  • Rapid Detection of Safe and Efficient Gene Editing Targets Across Entire Genomes
    PhD, Principal Supervisor
    Other supervisors: Professor Flavia Huygens
  • Reliable Uncertainty in Bayesian Neural Networks
    PhD, Associate Supervisor
    Other supervisors: Professor Clinton Fookes, Distinguished Professor Kerrie Mengersen
  • Optimising the computational performance of CRISPR/Cas guide design tools
    PhD, Principal Supervisor
    Other supervisors: Professor Chris Drovandi
  • Indexing and Search of Extreme-Scale Genomic Collections
    PhD, Associate Supervisor
    Other supervisors: Associate Professor Jim Hogan
  • What is the relationship between the k-mer based genomic signature and antimicrobial resistance phenotype in prokaryotes: An analysis utilising machine learning techniques.
    PhD, Associate Supervisor
    Other supervisors: Associate Professor Jim Hogan
  • MULTIMODAL DATA FUSION OF REMOTE SENSING AND SOCIAL MEDIA USING MACHINE LEARNING FOR NATURAL DISASTER DETECTION AND ASSESSMENT
    PhD, Associate Supervisor
    Other supervisors: Dr Alan Woodley
  • Advancing optimal experimental design with Machine Learning methods
    PhD, Associate Supervisor
    Other supervisors: Professor Chris Drovandi
  • Implementing Bayesian Synthetic Likelihood within the Engine for Likelihood-Free Inference
    MPhil, Associate Supervisor
    Other supervisors: Professor Chris Drovandi