Tobias Zehnder
Senior Computational Biologist
Berlin, Germany
Summary
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SeniorTobias Zehnder is a Senior Computational Biologist with nine years of experience translating complex multi-omics data into actionable insights for precision medicine. Trained at the University of Basel and with a PhD from Max Planck Institute via Freie Universität Berlin, he honed statistical and machine learning methods to decode regulatory genome function and its dynamics in disease. After a postdoc at Charité, he joined Owkin where he now applies AI to personalize therapies using single-cell and spatial transcriptomics. Tobias combines deep academic rigor with product-focused research, bridging method development and deployment in a startup setting. He is particularly adept at integrating temporal and spatial regulatory signals to reveal disease mechanisms that are not obvious from bulk measurements. Based in Berlin, he contributes to disease genomics research on GitHub and within collaborative teams aiming to match the right treatment to each patient.
9 years of coding experience
Github Skills (5)
projection8
comparative-genomics8
sequence7
genomics7
bioinformatics7
Programming languages (2)
Github contributions (5)
tobiaszehnder/ehmm
Apr 2018 - Apr 2020
enhancer hidden Markov model for enhancer predictions based on chromatin marks.
Contributions:43 commits, 24 pushes, 1 branch in 2 years
tobiaszehnder/IPP
Sep 2021 - Feb 2025
Interspecies Point Projection - A tool for comparative genomics beyond alignable sequence
Contributions:1 review, 3 PRs, 31 pushes in 3 years 5 months
sequenceprojectionindependentgenomicscomparative
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