Tom Kaufmann
PHD Student at Max Delbrück Center
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolTom Kaufmann is a Bioinformatics PhD student in Berlin with a decade of experience applying physics, statistics and computational methods to cancer genomics, especially copy number variation analysis in tumor cells. He combines strong foundations in biophysics and statistical physics with hands-on software development across Python, R, Java, Perl and Bash, having contributed to the ACEseq workflow at DKFZ. His background spans machine learning, image analysis, simulation and large-scale scientific computing, and he has co-authored published work using ML to analyze molecular simulation trajectories. A Studienstiftung fellow and Lindau meeting alumnus, Tom is comfortable both in collaborative research teams and in teaching roles, from intensive math courses to university tutoring. He brings an experimentalist’s rigor and a developer’s fluency in scientific workflows, enabling transition of complex analyses into reproducible pipelines.
10 years of coding experience
1 year of employment as a software developer
Master of Physics, Biophysics, 1.1, Master of Physics, Biophysics, 1.1 at Heidelberg UniversityAbitur, 1.0, Abitur, 1.0 at Friedrich-von-Alberti-GymnasiumUniversity College London
English, German
Github Skills (43)
visualization10
qt10
python10
package-management10
data-science10
matplotlib10
conda10
structural-variation10
gtk10
bioinformatics10
data-visualization10
bioconda10
genome8
jupyter-extension8
sequencing8
Programming languages (6)
Github contributions (5)
tlkaufmann/bioconda-recipes
Sep 2021 - Sep 2024
Conda recipes for the bioconda channel.
Contributions:42 pushes, 17 branches in 3 years
biocondabioinformaticsrecipesconda
tlkaufmann/drawingWithFourier
Jan 2020 - Oct 2020
Contributions:8 commits, 11 pushes, 1 branch in 9 months
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