Nico Pfeifer

Nico Pfeifer at the University of Tübingen develops interpretable machine learning methods for predicting cancer drug response and resistance. His work on applying ML to characterize drug resistance mechanisms and predict treatment outcomes from multi-omics data addresses a critical gap between computational prediction and clinical utility. His focus on interpretable models ensures predictions can be understood and acted upon by clinicians.