Carolin Von Soosten

Senior Biostatistician

Munich, Bavaria, Germany
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Summary

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Senior
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Top School
Carolin Von Soosten is a Senior Biostatistician based in Munich with 10 years of experience applying advanced computational and statistical methods to life-science problems. Trained to PhD level in mathematics at Technical University Munich, she bridges rigorous theory and practical data science across academic (MIT, Helmholtz, Ragon Institute) and industry settings, now driving biostatistics at Roche. Her work emphasizes interdisciplinary collaboration and method development aimed at improving patient diagnosis and treatment, backed by strong programming skills honed in both research and industrial projects. Notably, she has repeatedly transitioned complex immunology and clinical research problems into deployable analytic solutions, reflecting both deep domain knowledge and a bias for translational impact.
code10 years of coding experience
job8 years of employment as a software developer
bookBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Universität Ulm
bookMaster of Science - MS, Mathematics, Master of Science - MS, Mathematics at Technical University Munich
languagesEnglish, German
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Github Skills (29)

matlab10
parameter-estimation10
systems-biology10
mixture-model9
feature-selection9
uncertainty-quantification9
bioinformatics9
sbml9
modeling9
optimization9
computational-biology9
modelica8
model-validation8
agent-based-modeling8
dynamical-systems8

Programming languages (3)

RMATLABPython

Github contributions (5)

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ICB-DCM/ODEMM

Mar 2017 - Jul 2019

MATLAB Toolbox for ODE constrained mixture models
Contributions:185 commits, 10 PRs, 95 pushes in 2 years 5 months
matlabmixture-model
LoosC/systemsseRology

Nov 2019 - Mar 2021

Machine learning tools for the analysis of systems serology data
Contributions:123 commits, 2 PRs, 31 pushes in 1 year 3 months
machine-learningfeature-selectionmodel-validationpermutation-testpartial-least-squares
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