Jan Gleixner

Postdoctoral Researcher at EMBL

Heidelberg, Baden-Württemberg, Germany
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Summary

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Jan Gleixner is a computational biologist and postdoctoral researcher based in Heidelberg with 12 years of experience applying statistics and machine learning to biological data. Trained in molecular biotechnology (MSc 1.1) and now holding a PhD in biosciences, he has blended method development—ranging from causal inference hypothesis tests to neural-network segmentation of EM brain images—with applied computational biology across institutes like DKFZ, EMBL and Max Planck. His work spans algorithm design, reproducible analysis pipelines and GPU porting, and he has a track record of translating advanced statistical ideas into robust tools used in cancer and neurobiology research. A former iGEM winner, he combines hands-on lab experience with strong quantitative coding skills, making him effective at bridging wet-lab questions and computational solutions.
code12 years of coding experience
bookDoctor of Philosophy - PhD, Biosciences, 1.0 (Thesis written and defended, title not yet awarded), Doctor of Philosophy - PhD, Biosciences, 1.0 (Thesis written and defended, title not yet awarded) at Heidelberg University
bookMaster of Science - MS, molecular Biotechnology, 1.1, Master of Science - MS, molecular Biotechnology, 1.1 at Ruprecht-Karls-Universität Heidelberg
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Github Skills (200)

factor-analysis10
compression10
pdf-viewer10
neural-network10
scatter10
cran10
reader10
python10
windows10
backup10
gpu-acceleration10
r10
acceleration10
taskbar10
r-package10

Programming languages (21)

C#PowerShellJavaC++CSSCTeXGo

Github contributions (5)

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jan-glx/pertInv

Jan 2018 - Aug 2024

Contributions:13 pushes, 1 branch in 6 years 8 months
jan-glx/qnee

Aug 2018 - Aug 2024

Contributions:4 pushes, 1 comment, 3 issues in 6 years
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Jan Gleixner - Postdoctoral Researcher at EMBL