Meghan Turner
Scientist I, Imaging at Allen Institute for Brain Science
Seattle, Washington, United States
Summary
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SeniorMeghan Turner is a biophysicist and computational imaging scientist with nine years' experience applying quantitative light microscopy and machine learning to questions in cell and systems biology. Currently a Scientist I at the Allen Institute for Brain Science, she develops computational methods for spatial transcriptomics to produce data-driven parcellations of the adult mouse brain. Her background includes building scalable pipelines for 2D–5D fluorescence datasets, novel spatial analysis techniques for sub-nuclear dynamics, and open-source tools for image annotation and live transcriptional dynamics. She combines hands-on microscope selection and experimental design with production-ready code in MATLAB, Python, and PyTorch, and has a track record of reducing manual labeling through neural-net-assisted segmentation. Notably, she translated microscopic signal averaging techniques to reveal transcription factor enrichment previously invisible on commercial systems, reflecting a knack for extracting new biology from noisy imaging data.
9 years of coding experience
Github Skills (2)
bioinformatics7
dynamics7
Programming languages (4)
Github contributions (5)
AllenNeuralDynamics/thalamus-merfish-analysis
Feb 2024 - Mar 2025
Code Ocean capsule for sharing analysis of thalamus MERFISH data
Contributions:4 PRs, 108 pushes, 7 branches in 1 year 2 months
meghanaturner/annotation_buddy
Sep 2021 - Sep 2021
Contributions:5 pushes in 1 day
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