Christoph Lippert

Professor at University of Potsdam

Berlin, Germany
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Summary

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Senior
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Top School
Christoph Lippert is a professor and interdisciplinary researcher with 13 years of experience at the intersection of statistical genomics and machine learning, currently holding chairs at the University of Potsdam and the Hasso Plattner Institute and serving as adjunct faculty at Mount Sinai. He earned a PhD in Bioinformatics from Tübingen for work on mixed models for genome-wide association studies and has translated that expertise into industry roles at Microsoft Research and Human Longevity, applying Gaussian processes and mixed models to large-scale genetic data. His career blends theoretical ML (kernel methods, Gaussian processes) with practical data science in digital health and recommender systems, reflecting a rare ability to move ideas from kernel research labs to production-facing teams. Christoph has led research groups and academic programs, steering projects that connect statistical genetics to actionable insights in precision medicine. Based in Berlin, he combines deep quantitative skills with academic leadership and cross-Atlantic collaborations, increasingly focusing on digital health applications of ML. An underappreciated strength is his proven track record of bridging rigorous methodology with applied biomedical datasets to yield reproducible, scalable analyses.
code13 years of coding experience
job5 years of employment as a software developer
bookLudwig Maximilian University of Munich
bookDiplom, Bioinformatik, Diplom, Bioinformatik at Technische Universität München
bookDoctor of Philosophy (Ph.D.), Bioinformatik, Doctor of Philosophy (Ph.D.), Bioinformatik at Eberhard-Karls-Universität Tübingen
languagesGerman, English
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Github Skills (16)

utterances10
github-pages10
algolia10
triangular10
jekyll10
ruler10
algolia-search10
jekyll-theme10
gwas9
meta-analysis9
mixed-models9
python-bindings9
genetic8
bioinformatics7
machine-learning6

Programming languages (2)

HTMLPython

Github contributions (5)

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HealthML/math4ml

Mar 2019 - Feb 2025

Notes on mathematical topics that pertain to machine learning
Contributions:2 pushes, 1 branch in 6 years
mathematicalnotespythonmachine-learning
HealthML/Math4ML-Lecture

Nov 2020 - Feb 2021

Contributions:19 commits, 19 pushes, 1 branch in 3 months
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