Working Student - Image Data Analysis Technology Platform - Helmholtz Imaging
Berlin, Germany
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Summary
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Senior
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Top School
Maximilian Otto is a computational biologist and software-focused data scientist with nine years of experience building reproducible AI-driven image analysis tools for bioimaging. Based in Berlin, he currently develops user-friendly pipelines and shared virtual environments for scalable image data analysis and deep learning at Helmholtz Imaging, and maintains quality-control tooling like the pixel-patrol PyPI package. His background spans NGS omics projects to deep-learning cell image quantification, synthetic data generation with invertible CNNs, and explainable AI for stem-cell disease models. He combines hands-on engineering—packaging environments for fast, memory-efficient installs—with rigorous reproducible research practices from his MSc studies. Known for treating code as an instrument of experimentation, he enjoys translating wet-lab questions into deployable ML workflows. Outside work he programs for fun and plays drums, a reminder that curiosity and creativity drive his approach to data.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computational Biology, Master of Science - MS, Computational Biology at Freie Universität Berlin
Connect a <cheap LED-strip on a 4$ Arduino Nano clone> via USB to your computer and have the mean screen color (or accents) as a room light in real time. Can easily capture and display ~60fps on the LEDs as well. Very low latency. Fun Saturday night project for when I can't sleep. This code was never rly cleaned!
Contributions:103 commits, 84 pushes, 2 branches in 2 years
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Maximilian Otto - Working Student - Image Data Analysis Technology Platform - Helmholtz Imaging