Andre’s research is at the intersection of the physical/biological/clinical sciences and uses a multi-disciplinary approach to investigate electrical brain activity with applications to understanding epilepsy - abnormal electrical brain activity. This approach fuses the neuroanatomy, neurophysiology and neuropathology of multiple spatial and temporal scales, with techniques from mathematical neuroscience and theoretical biophysics to solve both fundamental and clinically relevant problems.

His work focusses on neural network dynamics from a theoretical perspective, particularly the relationship between network structure and network dynamics, which can be applied to understanding state (phase) transitions in epileptic networks with respect to their connectivity. Currently, he is working on methods to analyse the dynamics of patient-specific brain structures from structural and functional neuroimaging data. Since everyone's brains are different, brain disease requires patient-specific treatments in the paradigm of `precision medicine'. Andre works on ways of mathematically characterising and quantifying this patient-specificity using a variety of techniques from maths, physics, engineering, computer science and data science.