CHRISTOPH JOHANN FEINAUER

I teach a master course in advanced machine learning, one bachelor course in AI and one on programming using C.

I am an Assistant Professor of Computer Science at Bocconi University in Milan, Italy. I obtained my PhD in the context of the Marie-Curie program Netadis from the Polytechnic University of Turin, with research stays at the UPMC Paris and the KTH Stockholm. My work focuses on generative models for protein sequence data and explainable deep learning. After doing a postdoc in Martin Weigt’s group in Paris, I worked as a Machine Learning Scientist in a deep learning startup in Berlin and then joined Bocconi University in 2019.

My research interests are mainly generative models for protein sequence models, protein design and explainable deep learning with applications for deep models trained on biological data. I am especially interested in the prediction of pathogencity of genomic mutations using deep learning and the interpretation of the results in terms of the underlying biology. I also work on the structure of loss landscapes of neural networks, using methods derived from statistical physics.