Prof. Dr. Mario Stanke

Prof. Stanke works on probabilistic models for structured biological data and efficient algorithms for inference in these models. The focus is on developing, training and implementing conditional Markovian random fields for various concrete applications such as genome annotation, recombination detection and protein-protein interface prediction.

Research interests within Ai For Life

Algorithms, Epidemiology

Institut für Mathematik und Informatik
Universität Greifswald
AG Stanke

Prof. Dr. Mario Stanke