Team overview page 〉Details for: Carl Herrmann
Research interests:
Data Analysis, Statistical Methods for Genomics, Interpretable Machine learning
Short summary of current research:
We are applying statistical methods for genomic data integration and the identification of molecular signatures. We develop predictive interpretable deep-learning methods to describe perturbed cellular states in disease.