The Abbasi Lab develops interpretable models and algorithms based on machine learning principles to understand functions of the brain and related disorders. To discover and model the functions of neurons, the lab studies applications of machine learning in the analysis of large-scale multi-modal datasets including electrophysiology, calcium imaging, electron microscopy, and spatial gene expression profiles. In the next step and to reconcile our understanding of the brain with related disorders, the Abbasi Lab builds computational tools for scientific discovery in large-scale neurological clinical datasets. This involves interpretable analysis and visualization of medical images, multi-omics datasets, and electronic health records.