I recently finished my PhD mapping 3D serotonin diffusion during behavior within the model neuroscience worm C. elegans. I have extensive experience at both the wet- and dry-lab from grad school and really enjoy collecting and analyzing imaging data. I’m excited by opportunities to tackle new analysis challenges on large-scale data and to continue expanding my data processing skill set!

• I was maybe what you could consider a “full-stack biologist” during my PhD and worked on all aspects of my project including: cloning and breeding new nematode strains expressing a genetically encoded fluorescent biosensor for serotonin, optimizing imaging protocols, recording my own datasets, and devising and implementing a novel analysis workflow for fixing deformations caused by movement during tracking confocal imaging.
• This pipeline, animated below, first extracts the body spline of the worm to inform a new coordinate transform for each frame to coarsely fix large deformations from body bending during movement. The pipeline then performs finer image registration to further align each image stack to a chosen reference stack from each recording.

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README inspired by MadsLorentzen's page