Invited Talks

March 2020 Machine Learning-based Large-scale Image Analysis Workshop (Crick Networking Group – March 2020),

Jan 2020 Risk Institute Machine-learning Workshop, University of Liverpool Analysing cortical organisation and its relation to cognition: A machine learning & discrete optimization approach (tutorial on how to use MSM and use cortical surface imaging data)

Oct 2019 EPSRC Centre for Mathematical Imaging in Healthcare Cambridge University, workshop Artificial Intelligence Developments in Healthcare Imaging

Oct 2019: UK Bioscience Forum,  Teaching Session: Applications of Machine Learning in Neuroscience

Aug 2019, FITʼNG In: Establishing Best Practices for Infant NeuroImaging FLUX congress , New York: The Developing Human Connectome Project (dHCP): the power of Big Data (overview of the dHCP second data release)

May 2018, Big Data Little Brain’s, Flux Satellite Conference, Chapel Hill, North Carolina: ‘The Developing Human Connectome Project (dHCP): Towards a dynamic map of evolving brain connectivity, reflecting fetal and early neonatal periods

March 2018,  Imperial College, Department of Computing, Machine Learning Tutorial Series: ‘The symbiotic relationship between neuroscience and machine learning

Dec 2017, Institute of Psychiatry, Psychology & Neuroscience, Kings College:The Human Connectome Project multimodal cortical parcellation:  new avenues for brain research.

April 2017: EPSRC Centre for Mathematical Imaging in Healthcare, Cambridge, Academic Engagement Conference: ‘The Human Connectome Project multimodal cortical parcellation:  new avenues for brain research.’

June 2016: Ecole Polytechnique Fédérale de Lausanne: ‘Modelling the Macroscale Human Connectome’