I work on the reliability and limits of machine learning in medicine: what a model can and cannot extract from biomedical data, and what has to hold before its output supports a clinical conclusion. I lead the Translational Barriers group at the Hertie Institute for AI in Brain Health, University of Tübingen.
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Hertie Institute for AI in Brain Health
- maschulz.com
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pyinfluence
pyinfluence PublicTraining data attribution for scikit-learn: influence functions, leave-one-out, Data Banzhaf, bootstrap, and a functional-influence engine for fairness and scalar-property auditing
Python 2
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cohortmatch
cohortmatch PublicStatistical matching for cohort studies, from small samples to biobank scale
Python 1
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