Leila Elabbady
Research Scientist at Allen Institute
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolLeila Elabbady is a computational neuroscientist and research scientist with nine years of experience probing how neural architecture shapes computation, now based at the Allen Institute in Seattle. She combines deep expertise in electron microscopy, large-scale imaging pipelines, and deep learning for cell-type classification with a talent for designing intuitive, aesthetic visualizations that make complex data interpretable. Her work spans end-to-end experimental and software workflows—from 3D image alignment and synapse analysis to user-friendly tools for array tomography—grounded in a PhD trajectory at the University of Washington and prior hands-on EM and immunofluorescence projects. Recognized with fellowships and awards during graduate study, she pairs rigorous quantitative methods with clear communication, mentoring, and a commitment to accessible science. An unconventional strength is her dual focus on form and function: she studies circuit structure while deliberately crafting the visual language that reveals it.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS) Neuroscience, Bachelor of Science (BS) Neuroscience at Wellesley College
English, Arabic, Spanish, French
Github Skills (15)
visualization5
imaging4
datasets3
annotations3
cube3
explore2
filtering2
dataframes1
python-bindings1
python1
data-visualization1
dashboard1
tomography1
data-analytics1
pythonic1
Programming languages (3)
Github contributions (5)
lelabbady/EMAnnotationSchemas
Jul 2020 - Jan 2022
Repository to hold schemas for annotations of volumetric imaging data focused on EM
Contributions:9 pushes, 1 branch in 1 year 6 months
annotationsvolumetricimagingfocusedschemas
lelabbady/synister
Jul 2022 - Feb 2023
Neurotransmitter prediction from EM.
Contributions:5 PRs, 7 pushes, 1 branch in 7 months
deep-learningmachine-learningtensorflowprediction
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