Jeff Rhoades
Dr. Jeff Rhoades is a Machine Learning Scientist at E11 Bio, where he develops computational approaches and infrastructure for large-scale brain circuit mapping.
During his PhD at Harvard, Jeff studied how cerebellar circuit structure supports computation, combining electron microscopy with machine learning–based segmentation and analysis. He contributed to a connectomics study of the mouse cerebellar cortex (Nguyen, Thomas, Rhoades et al., Nature, 2023) and led methods development for neurite reconstruction in x-ray tomography (Rhoades et al., IEEE ISBI, 2023).
Jeff joined HHMI Janelia Research Campus to lead machine learning development for the CellMap Project Team. There he helped develop the DaCapo framework for segmenting massive bioimaging data (Patton†, Rhoades†, Zouinkhi† et al., bioRxiv, 2024) and led code development for the CellMap Segmentation Challenge, an open community benchmark (CellMap Project Team et al., 2024).
Jeff received his B.A. in Psychology from Lewis & Clark College, where he met his wife.
Outside of work, Jeff is most often outdoors with his family, drawn to slow conversations about the nature of existence and how to shape a beautiful future for all — and to chasing his two sons around playgrounds as a lava monster.