In my work I use computational methods to reconstruct, annotate, and analyse the synaptic connectivity of individual neurons from electron microscopy volumes of the adult fly brain and ventral nerve cord. The main goal thus far has been to elucidate the neural circuitry that underlies olfactory-associated learning and memory and understand neuronal development. I use variety of quantitative techniques: graph clustering, dimensionality reduction and deep learning. Alongside, I co-devleop a suite of packages for neural analysis and visualizations from natverse (R, http://natverse.org/) and navis (python) familites.
