I completed my PhD in neuroscience and psychiatry at the University of Cambridge in 2024, where I used neuroimaging data and normative models to investigate divergences in brain development in autism and ADHD.

I also specifically examined sex and age differences within these conditions and their relationship to neuroanatomy, potential subgroups within and across conditions, and the impact of MRI and processing quality on the results of clinical imaging studies.

I also conducted a community engagement study on the autism community’s perceptions of neuroscience research in autism. More broadly, I am interested in integrating genetic and neuroimaging methods to improve our understanding of brain development, and neurodevelopmental conditions specifically.

Project Information

Driver Programme: Molecules to Health Records

Project title: Developing integrative imaging genetics methods

Summary:

I will be working on developing processing pipelines for clinical imaging data, as well as methods to integrate neuroimaging data with genetics. We hope to be able to leverage these methods to link large population genetic databases to clinical scans as well as health records to investigate genetic influences on brain development and health outcomes.

What is your motivation for this project?

I am excited to develop my knowledge of genetics and genetic analysis methods, and in particular to leverage large population datasets to inform our understanding of brain health and development. This funding will allow me to contribute to exploring these research avenues as well as potential clinical and translational applications of this work.