Zachary Sheldon is an Assistant Research Engineer in the Computational Neuroimaging Lab at the Child Mind Institute. He develops signal processing and analysis tools for the Configurable Pipeline for the Analysis of Connectomes (C-PAC) package, as well as conducts research using machine learning for large-scale neuroimaging datasets. He completed his bachelor’s degree in Cognitive Science at the University of Pennsylvania, where he did research on the neural basis for song in finches and built a computational model of neural circuits in the rodent brain associated with spatial navigation. Prior to coming to the Child Mind Institute, Zachary worked on developing wearable, non-invasive neural interfaces at the startup Kernel. Zachary aims to build useful, rigorous tools for neural data science and explore the application of cutting-edge machine learning models to neuroimaging datasets.
- BA, Cognitive Science, University of Pennsylvania