Bio
BioPat Rivlin is a senior researcher and the supervisor of the Connectomics Section in the Neuroscience Group within APL’s Research and Exploratory Development Department. She is a broadly trained neurobiologist with a multidisciplinary background in biological electron microscopy, neuroanatomy, Drosophila genetics, and connectomics. Her neuroscience research has spanned a range of animal models, including primates, mice, fish, and insects.
She has made major contributions to the generation of several Drosophila image volumes and connectomes—and more recently, to the curation of the cubic-millimeter IARPA MICrONS (Machine Intelligence from Cortical Networks) and H01 datasets. Her current work focuses on developing tools to improve the scalability and analysis of connectomic datasets.
Her research interests include leveraging connectomic data to elucidate fundamental principles of neural circuit organization, exploring the diversity of synaptic and network motifs, and identifying ultrastructural correlates of neuronal function to inform and advance computational modeling.
