Research interests

My main research interest is structured machine learning and its application on Big Data problems. As part of the MOLE group I am contributing to the DL-Learner framework trying to adapt and extend it for bigger life science use-cases. Besides this, further efforts concern the parallelization of existing learning algorithms on shared memory and shared nothing architectures.