Arthur Imbert
Research Engineer In BioAI at InstaDeep
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolArthur Imbert is a research engineer in BioAI with a decade of experience applying machine learning to biological problems, currently advancing sequence modeling on proteomics data to support personalized cancer vaccine development at InstaDeep. He holds a PhD in computational biology from Mines Paris and Institut Curie, where he developed computer vision and point-cloud models to analyze mRNA localization from smFISH images and produced an open-source framework (BigFISH/SimFISH) used to process over 12,000 microscopy images. Comfortable at the intersection of signal processing, rigorous software engineering, and biological experimentation, Arthur has published across biology and ML and has a strong track record of turning research code into reusable tools. Trained also in data science, statistics and economics, he brings a quantitative, multidisciplinary perspective and a history of optimizing production ML pipelines from internships to industry research.
10 years of coding experience
2 years of employment as a software developer
CPGE B/L, Humanities and Social Sciences, CPGE B/L, Humanities and Social Sciences at Lycée Janson-de-SaillyBSc, Economics, BSc, Economics at University of Paris I: Panthéon-SorbonneGeneral Certificate of Education, Science, General Certificate of Education, Science at Thiers High SchoolMSc, Statistics and Economics, MSc, Statistics and Economics at ENSAE ParisMSc, Data Science, MSc, Data Science at École PolytechniquePhD, Computational Biology, PhD, Computational Biology at Mines Paris - PSL
French, English
Stackoverflow
21reputation
1kreached
1answer
0questions
Github Skills (26)
python10
toolbox10
image-processing10
data-science10
image10
scikit10
statistics10
machine-learning10
segmentation10
scikit-learn10
computer-vision10
data-analysis10
simulate9
jupyter-notebook6
tensorflow6
Programming languages (5)
Github contributions (5)
Henley13/paper_translation_factories_2020
Dec 2019 - Dec 2020
Methods, plots and numerical results for Chouaib et al. (2020)
Contributions:1 release, 24 commits, 3 PRs in 1 year
plots
fish-quant/big-fish
Dec 2018 - Sep 2022
Toolbox for the analysis of smFISH images.
Contributions:11 releases, 1 review, 579 commits in 3 years 9 months
toolboximage-processingpythonsmfishpattern-classification
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