Adjunct Assistant Professor, Computer Science
School of Science & Engineering
Holding a Ph.D. in Neuroscience from Imperial College London, UK, as well as an MPhil in Computational Biology from Cambridge University, UK, Dr. Ejaz studies the acquisition and representation of skilled motor function by the human brain.
- Ph.D. in Neuroscience from Imperial College London, UK
- M.Phil in Computational Biology from Cambridge University, UK
- B.S in Computer Science from LUMS , Pakistan
Specifically, his research interests include the study of how the brain represents and controls skilled hand function, how these representations are established during fetal development, and how they are altered due to disease such as stroke and dystonia. In his work, he uses a combination of behavioral and imaging experiments in combination with computational modelling.
Furthermore, he is also deeply fascinated and interested in the use of big data & machine learning to quantify and solve the most basic of civil problems such as access to justice, healthcare, education etc.
- Walther A, Nili H, Ejaz N, Kiegeskorte N, Diedrichsen J. (2015) Reliability of dissimilarity measures for multi-voxel pattern analysis. Neuroimage. doi:10.1016/j.neuroimage.2015.12.012
- Xu J*, Ejaz N* et al. (2015) Fine finger control and strength recover after stroke along a time-invariant impairment function. Translational and Computational Motor Control
- Ejaz N, Hamada M, Diedrichsen J. (2015) Hand use predicts the structure of representations in sensorimotor cortex. Nature Neuroscience. 18(7):1034-40. doi: 10.1038/nn.4038
- Diedrichsen J, Wiestler T, Ejaz N. (2013) A multivariate method to determine the dimensionality of neural representation from population activity. Neuroimage. doi: 10.1016/j.neuroimage.2013.02.062