Anna Kreshuk
Group Leader And Senior Scientist at EMBL
Heidelberg, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolAnna Kreshuk is a machine learning–focused computer scientist and group leader at EMBL Heidelberg with 15 years of experience applying advanced algorithms to large-scale microscopy and biomedical imaging. She leads a research group that develops accessible image-analysis methods and production-ready workflows—contributing code and tests to the widely used ilastik project for interactive image classification and feature computation. Her background spans hands-on scientific programming at CERN and GSI to postdoctoral roles automating EM and mass-spec analyses, giving her rare depth across physics, biology, and computational science. Known for bridging method development and user accessibility, she combines rigorous PhD-level research with pragmatic engineering to make complex microscopy tools useful to non-expert biologists.
15 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Ruprecht-Karls-Universität Heidelberg / University of Heidelberg1Lomonosov Moscow State University
Russian, German, French, English
Github Skills (5)
data-analysis10
machine-learning10
python10
image-processing10
hdf9
Programming languages (8)
Github contributions (5)
ilastik/ilastik
Jul 2011 - Dec 2020
ilastik-shell, applets, and workflows to string them together.
Role in this project:
Backend Developer & Data Scientist
Backend Developer & Data ScientistContributions:482 commits, 43 PRs, 87 pushes in 9 years 6 months
Contributions summary:Anna's commits focused on implementing features and tests for a machine learning workflow within the "ilastik/ilastik" repository, as indicated by the code differences in `tests/autocontext.py`. The contributions include building a graph for classifying images, as seen in the `tests/graph_save.py` and `tests/graph_load.py` files. Further commits add functionality such as integral image calculations, average and variance feature computations, and tests to assess the accuracy of these feature computations.
to-stringpythonstringilastikmachine-learning
ilastik/ilastik.github.io
Jun 2013 - Dec 2022
Contributions:4 reviews, 140 commits, 16 PRs in 9 years 7 months
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