Researcher's Work on Neuronal Cell Bodies Highlighted in Neuroscience Journal

The University of Virginia's School of Data Science is pleased to announce that a research paper from Mohammad Shafkat Islam, a postdoctoral research associate, was selected as a featured research article in eNeuro, an open access neuroscience journal. 

Islam, who works with Stephen Baek, an associate professor of data science, was first author on the paper in which he and colleagues developed an advanced, deep-learning vision transformer algorithm that has the ability to automatically and quickly segment neuronal cell bodies. 

This approach will help neuroscientists more effectively analyze these cell bodies under a variety of pathological conditions, potentially leading to a quantitative understanding of the many aspects of brain injuries as well as the discovery of new treatment methods. 

Islam joined the School of Data Science in 2022 following work as a postdoctoral fellow at the Children's Hospital of Philadelphia. He received a Ph.D. in electrical and computer engineering from the University of Iowa.