Mallory Wittwer

Image Analysis Engineer at EPFL Center for Imaging

Lausanne, Vaud, Switzerland
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Summary

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Senior
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Mallory Wittwer is an Image Analysis Engineer at EPFL Center for Imaging with eight years of experience applying image quantification and machine learning to scientific problems. She helps researchers turn complex imaging datasets into actionable results, drawing on a materials science master's from EPFL and applied data science training. Her background spans high-throughput imaging for crystal orientation mapping at NTU, hands-on development of 3D-printable piezoelectric actuators, and materials testing for ESA—bringing a rare combination of experimental rigor and software-first analysis. An advocate for open-source and education, she blends full-stack development skills from a Le Wagon bootcamp with domain expertise to build reproducible, researcher-friendly tools that speed discovery.
code8 years of coding experience
job3 years of employment as a software developer
bookFull-Stack Web Development Bootcamp, Full-Stack Web Development Bootcamp at Le Wagon
bookMaster's degree, Materials Science and Engineering, Master's degree, Materials Science and Engineering at Ecole polytechnique fédérale de Lausanne
bookCOS - Certificate of Open Studies, Applied Data Science and Machine Learning, COS - Certificate of Open Studies, Applied Data Science and Machine Learning at EPFL Extension School
languagesFrench, English, German
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Stackoverflow

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Github Skills (36)

unicorns10
dedicated9
image-analysis8
python5
lrc5
image-processing4
scikit-image4
neuroscience4
3d4
segmentation4
pathfinding3
displays3
algorithms3
scrapy3
conda3

Programming languages (6)

TypeScriptJavaScriptHTMLJupyter NotebookRubyPython

Github contributions (5)

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MalloryWittwer/featurescope

Mar 2022 - Nov 2022

Contributions:40 commits, 23 pushes, 1 branch in 8 months
Interactively plot the image intensity along the depth axis of a 3D image dataset.
Contributions:1 review, 5 PRs, 17 pushes in 2 years 2 months
3dnapari-plugin
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