Qualifications

• PGDip in Cloud Computing for Big Data, Newcastle University, 2020.

• BSc in Mathematics (First Class Honours), Lancaster University, 2014.

Area of expertise: data science, statistics, structural imaging.

Current research

The majority of my work focuses on developing computational methods to identify brain abnormalities in people with epilepsy, using T1-weighted MRI and diffusion-weighted MRI.

Research Interests

• Epilepsy surgical outcome prediction

• Brain abnormality detection

• Normative modelling

• Network analysis

• Machine learning

1. Horsley, J.J., Thomas, R.H., Chowdhury, F.A., Diehl, B., McEvoy, A.W., Miserocchi, A., de Tisi, J., Vos, S.B., Walker, M.C., Winston, G.P., Duncan, J.S., Wang, Y., Taylor P.N. 2023. Complementary structural and functional abnormalities to localise epileptogenic tissue. Lancet eBioMedicine 

2. Horsley, J.J., Schroeder, G.M., Thomas, R.H., de Tisi, J., Vos, S.B., Winston, G.P., Duncan, J.S., Wang, Y., Taylor, P.N., 2022. Volumetric and structural connectivity abnormalities co-localise in TLE. NeuroImage: Clinical 

3. Wang, Y., Schroeder, G.M., Horsley, J.J., Panagiotopoulou, M., Chowdhury, F.A., Diehl, B., Duncan, J.S., McEvoy, A.W., Miserocchi, A., de Tisi, J., Taylor, P.N., 2023. Temporal stability of intracranial EEG abnormality maps for localising epileptogenic tissue. Epilepsia

4. Hall, G.R., Hutchings, F., Horsley, J.J., Simpson, C.M., Wang, Y., de Tisi, J., Miserocchi, A., McEvoy, A.W., Vos, S.B., Winston, G.P., Duncan, J.S., Taylor, P.N., 2023. Epileptogenic networks in extra temporal lobe epilepsy.  Network Neuroscience 

5. Owen, T.W., Janiukstyte, V., Hall, G.R., Horsley, J.J., McEvoy, A., Miserocchi, A., de Tisi, J., Duncan, J.S., Rugg-Gunn, F., Wang, Y., Taylor, P.N., 2023. Identifying epileptogenic abnormalities through spatial clustering of MEG interictal band power. Epilepsia Open