• Neurodevelopmental Disorders 14465
  • Neurodevelopmental Disorders 14466
  • Neurodevelopmental Disorders 14467
  • Neurodevelopmental Disorders 14472

Diagnostic labels for neurodevelopmental conditions like autism try to explain what is common between individuals at the level of observable behaviour. While this level of explanation tries to maximize consensus amongst clinicians about what can be observed in behaviour, it also potentially masks important differences between individuals possessing the same label. These differences between individuals can also be expressed at every level one looks at – from the genome, through neural systems, the phenotype, and all the way up to respond to treatment and later life outcome. It may be that these multi-level differences between individuals are the most important features for understanding causes and mechanisms driving the emergence of such conditions. These differences may also be important clues that help us develop interventions and clinical practice that better maximizes the outcomes and potential of such individuals. The lab’s focus is better to understand what drives multi-level heterogeneity within and between individuals affected by neurodevelopmental conditions such as autism and to use that more precise understanding to better impact the lives of patients and their families.


The lab utilizes a variety of multidisciplinary tools, techniques and methods to answer diverse questions about multi-level heterogeneity and early developmental mechanisms affecting autism and other neurodevelopmental conditions. These include approaches from in-vivo neuroimaging (MRI, fMRI, EEG, MEG), experimental psychology and social neuroscience, eye tracking, behavioural observation, animal and in-vitro modelling, genomics, bioinformatics, and computational approaches from data science and machine learning.


  • Simon Baron-Cohen (University of Cambridge)
  • Eric Courchesne (UC San Diego)
  • Karen Pierce (UC San Diego)
  • Alessandro Gozzi (IIT)
  • Bonnie Auyeung (University of Edinburgh)
  • Meng-Chuan Lai (University of Toronto)
  • Bhismadev Chakrabarti (University of Reading)