Description
This project aims to develop integrative, data-driven frameworks to elucidate how genomic, environmental, and behavioural factors interact to shape neurodevelopmental variation. It will combine systematic evidence synthesis, meta-analytic and Delphi methodologies, and artificial intelligence (AI) modelling to generate unified theoretical and AI-based frameworks for modelling and predicting patterns of variation in early developmental trajectories, with the goal of improving understanding of autism, intellectual disability, and communication disorders.
Essential criteria:
Minimum entry requirements can be found here: https://www.monash.edu/admissions/entry-requirements/minimum
Keywords
Neurodevelopmental disorders; Genomics; Environmental influences; Evidence synthesis; Artificial intelligence; Developmental trajectories
School
School of Clinical Sciences at Monash Health / Hudson Institute of Medical Research » Paediatrics
Available options
PhD/Doctorate
Masters by research
Honours
BMedSc(Hons)
Time commitment
Full-time
Part-time
Top-up scholarship funding available
No
Physical location
Monash Children's Hospital
Co-supervisors
Prof
Katrina Williams
Assoc Prof
David Godler